Journal articles: 'Classification analysi'

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Himmelreich, Nastassja, Rosa Navarrete, Lourdes Ruiz Desviat, Santiago Ramon, Belen Perez, and Nenad Blau. "PATHOGENICITY CLASSIFICATION OF PHENYLALANINE HYDROXYLASE () MISSENSE VARIANTS USING ACMG/AMP/ACGS RECOMMENDATIONS, VARIANT EFFECT PREDICTORS (VEP) AND 3D ANALYSI." Molecular Genetics and Metabolism 138, no. 3 (March 2023): 107422. http://dx.doi.org/10.1016/j.ymgme.2023.107422.

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Willatt, D. J., M. S. McCormick, R. P. Morton, and P. M. Stell. "Staging of Maxillary Cancer." Annals of Otology, Rhinology & Laryngology 96, no. 2 (March 1987): 137–41. http://dx.doi.org/10.1177/000348948709600201.

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Of the many proposed classifications for staging maxillary sinus cancer, none has been adopted universally and none is known to be superior to the others. This study identified the best of six currently used classifications using data from 53 previously untreated patients with squamous cell carcinoma of the maxillary sinus. Analysis of each classification's ability to stage the majority of patients, produce a balanced distribution of T stages, and correlate T stage with treatment and prognosis revealed Harrison's classification to be the best. Harrison's classification should be adopted worldwide as the classification of choice for staging squamous cell carcinoma of the maxillary sinus.

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Dwivedi, Somya, Harsh Patel, and Shweta Sharma. "Movie Reviews Classification Using Sentiment Analysis." Indian Journal of Science and Technology 12, no. 41 (November 20, 2019): 1–6. http://dx.doi.org/10.17485/ijst/2019/v12i41/145554.

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Supe, Liāna, and Ingūna Jurgelāne-Kaldava. "Classification of higher education institutions: qualitative content analysis." Pedagoģija: teorija un prakse : zinātnisko rakstu krājums = Pedagogy: Theory and Practice : collection of scientific articles, no. IX (April 6, 2020): 87–99. http://dx.doi.org/10.37384/ptp.2020.09.087.

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Aim – to identify criterions and parameters for classification of higher education institutions, using research method – qualitative content analysis. The following tasks are defined for reaching the aim: to conduct qualitative content analysis and define categories and their frequency; to describe and analyse defined categories; to compare different classifications of higher education institutions; to summarize the analysis results and draw conclusions. Research methodology – overview of literature and qualitative content analysis. Findings – qualitative content analysis helps to structure the information gathered, to select the relevant and applicable, and leads to the development of new categories; higher education institutions are classified in many ways, using different criterions and parameters; classifications made by individual researchers are available, as well as universally known and applied classifications of higher education institutions such as Carnegie Classification and European classification of higher education institutions. Research limitations – the classification of higher education institutions is analysed only from Europe and the United States of America.

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Di Lauro, Salvatore, Mustafa R. Kadhim, David G. Charteris, and J. Carlos Pastor. "Classifications for Proliferative Vitreoretinopathy (PVR): An Analysis of Their Use in Publications over the Last 15 Years." Journal of Ophthalmology 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/7807596.

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Purpose. To evaluate the current and suitable use of current proliferative vitreoretinopathy (PVR) classifications in clinical publications related to treatment.Methods. A PubMed search was undertaken using the term “proliferative vitreoretinopathy therapy”. Outcome parameters were the reported PVR classification and PVR grades. The way the classifications were used in comparison to the original description was analyzed. Classification errors were also included. It was also noted whether classifications were used for comparison before and after pharmacological or surgical treatment.Results. 138 papers were included. 35 of them (25.4%) presented no classification reference or did not use any one. 103 publications (74.6%) used a standardized classification. The updated Retina Society Classification, the first Retina Society Classification, and the Silicone Study Classification were cited in 56.3%, 33.9%, and 3.8% papers, respectively. Furthermore, 3 authors (2.9%) used modified-customized classifications and 4 (3.8%) classification errors were identified. When the updated Retina Society Classification was used, only 10.4% of authors used a full C grade description. Finally, only 2 authors reported PVR grade before and after treatment.Conclusions. Our findings suggest that current classifications are of limited value in clinical practice due to the inconsistent and limited use and that it may be of benefit to produce a revised classification.

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Gehlsen, Gale M., and Joan Karpuk. "Analysis of the NWAA Swimming Classification System." Adapted Physical Activity Quarterly 9, no. 2 (April 1992): 141–47. http://dx.doi.org/10.1123/apaq.9.2.141.

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This study was conducted to determine the effectiveness of the National Wheelchair Athletic Association (NWAA) classification system in swimming events. The NWAA records of freestyle, butterfly, and backstroke in nine classifications of both male and female athletes were used (N=1,256). Each athlete’s speed was calculated from the reported time and distance. There was a significant difference in classification for all events except the paraplegic 50- and 100-m backstroke events. Post hoc data analyses within classification for the 50- and 100-m freestyle events indicated significant differences among all paraplegic classifications. Post hoc data analyses within classifications for the 50-m butterfly event indicated significant differences among all paraplegic classes except Class V and Class VI athletes. Tetraplegic within classification post hoc data analyses indicated significant differences between 1A and both Classes 1B and 1C. Gender differences were statistically indicated for all events. The logic of the medical classification system of the NWAA cannot be totally supported by these data. However, the results do not offer clear direction for any combination of classes.

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Khan, Nida Zafar, and Prof S. R. Yadav. "Analysis of Text Classification Algorithms: A Review." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (February 28, 2019): 579–81. http://dx.doi.org/10.31142/ijtsrd21448.

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Roberts, Kevin C., John B. Lindsay, and Aaron A. Berg. "An Analysis of Ground-Point Classifiers for Terrestrial LiDAR." Remote Sensing 11, no. 16 (August 16, 2019): 1915. http://dx.doi.org/10.3390/rs11161915.

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Previous literature has compared the performance of existing ground point classification (GPC) techniques on airborne LiDAR (ALS) data (LiDAR—light detection and ranging); however, their performance when applied to terrestrial LiDAR (TLS) data has not yet been addressed. This research tested the classification accuracy of five openly-available GPC algorithms on seven TLS datasets: Zhang et al.’s inverted cloth simulation (CSF), Kraus and Pfeiffer’s hierarchical weighted robust interpolation classifier (HWRI), Axelsson’s progressive TIN densification filter (TIN), Evans and Hudak’s multiscale curvature classification (MCC), and Vosselman’s modified slope-based filter (MSBF). Classification performance was analyzed using the kappa index of agreement (KIA) and rasterized spatial distribution of classification accuracy datasets generated through comparisons with manually classified reference datasets. The results identified a decrease in classification accuracy for the CSF and HWRI classification of low vegetation, for the HWRI and MCC classifications of variably sloped terrain, for the HWRI and TIN classifications of low outlier points, and for the TIN and MSBF classifications of off-terrain (OT) points without any ground points beneath. Additionally, the results show that while no single algorithm was suitable for use on all datasets containing varying terrain characteristics and OT object types, in general, a mathematical-morphology/slope-based method outperformed other methods, reporting a kappa score of 0.902.

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Paula Neto, Antonio Candido de, Douglas Hideki Ikeuti, Augusto Braga dos Santos, Rui Dos Santos Barroco, Bruno Rodrigues de Miranda, and Rafael Da Rocha Macedo. "Concordance analysis of adult ankle fracture classifications." Scientific Journal of the Foot & Ankle 13, no. 1 (March 31, 2019): 10–14. http://dx.doi.org/10.30795/scijfootankle.2019.v13.885.

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Objective: To analyze the interobserver agreement among physicians in an orthopedy and traumatology service with knowledge and training in adult ankle fracture classifications through radiographic evaluation. Methods: A cross-sectional study was carried out in which the records of 20 patients with a diagnosis of ankle fracture in 2016 (uni-, bi- or trimalleolar), aged older than 18 years or with a closed physis, were studied. The radiographs that met the criteria were analyzed and classified according to the Danis Weber (DW), Lauge-Hansen (LH) and Arbeitsgemeinschaft für Osteosynthesefragen/Orthopaedic Trauma Association (AO/OTA) classifications by two first-year residents, two second-year residents, two third-year residents and two preceptors of the service. The conditions were identical for the observers and were performed individually once. The Kappa coefficient (K) was used to assess agreement. Results: The results showed great interobserver agreement in the DW and LH classifications, with K values equal to 0.69 and 0.64, respectively. The AO/OTA classification showed moderate agreement, with K = 0.47. Conclusion: The DW classification was the most reliable among the three classifications. The AO/OTA classification showed the lowest agreement and was the least reliable, and the LH classification was in between the others. Level of Evidence III, Diagnostic Studies; Study of non consecutive patients; without consistently applied reference “gold” standard.

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Hassan, Awring Falah. "Analysis of BBC News by Applying Classification Algorithms." Journal of Advanced Research in Dynamical and Control Systems 12, no. 1 (February 13, 2020): 148–52. http://dx.doi.org/10.5373/jardcs/v12i1/20201023.

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Tomka, Ján, Peter Demo, Martina Gondeková, and Zuzana Salagová. "The analysis of pig carcass classification in Slovakia." Czech Journal of Animal Science 66, No. 3 (March 2, 2021): 78–86. http://dx.doi.org/10.17221/231/2020-cjas.

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In the last decade, the pig sector in Slovakia has been changing continuously, especially in regard to the proportion of pigs coming from foreign breeding programs. These changes lead to changes in carcass characteristics and to a change in the distribution of carcasses within the classes of the Union scale for the classification of pig carcasses. Therefore, this study was undertaken to analyse the actual state of pig carcass classification in the Slovak Republic and to investigate the needs of updating the equations for the classification methods and possible steps to improve the quality of pork produced within the country. Results showed that an increased number of pig carcasses originated from Danish breeding program, and also from the Czech Republic and Poland. When compared to carcasses in 2009, these changes resulted in lower backfat thickness and higher muscle thickness of the longissimus dorsi muscle and thus higher lean meat content of carcasses. This results in a higher number of carcasses classified in the S and E classes. Slight differences between two instrumental classification methods were calculated. The study showed the need for updating the equations for classification methods, and also suggested possible further steps in order to improve the quality of pork.

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Singh, Priyanka, and Prof Avinash Sharma. "Analysis of Imbalanced Classification Algorithms: A Perspective View." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (February 28, 2019): 974–78. http://dx.doi.org/10.31142/ijtsrd21574.

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Konet, I. M., and T. P. Pylypiuk. "PEDAGOGICAL SOFTWARE FOR PHYSICS: CLASSIFICATION, ANALYSIS, CREATION TOOLS." Collection of scientific papers of Kamianets-Podilskyi National Ivan Ohiienko University. Pedagogical series, no. 24 (November 29, 2018): 63–66. http://dx.doi.org/10.32626/2307-4507.2018-24.63-66.

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M, Mallikarjuna, and R. Prabhakara Rao. "Classification of Capital Markets by Using Cluster Analysis." International Academic Journal of Accounting and Financial Management 06, no. 01 (June 13, 2019): 11–22. http://dx.doi.org/10.9756/iajafm/v6i1/1910002.

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VIEIRA, ANDRÉ LUIZ PAGOTTO, JULIANO RODRIGUES DOS SANTOS, and GUILHERME GALITO HENRIQUES. "COMPARATIVE ANALYSIS OF TWO CLASSIFICATION SYSTEMS OF THORACOLUMBAR SPINE FRACTURES." Coluna/Columna 17, no. 1 (March 2018): 35–38. http://dx.doi.org/10.1590/s1808-185120181701179188.

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ABSTRACT Objective: To evaluate the reproducibility and the interobserver coefficient of concordance between the AO/Magerl and AOSpine classifications for thoracolumbar spine fractures. Methods: Retrospective study of radiographic data analysis. Data were collected from 31 radiographic studies of patients with thoracolumbar spine fracture and distributed to a team involving spinal surgeons and residents. The fractures were classified according to the AO/Magerl and AOSpine classifications. Statistical analysis was performed using the Cohen Kappa test to assess the coefficient of concordance. Results: The Kappa value for interobserver concordance of AO/Magerl classification was κ = 0.70 and standard deviation was 0.16. For the AOSpine classification, we observed κ = 0.76, both with significance level α = 0.05 and P<0.001. Conclusions: We conclude that the interobserver concordance of the new AOSpine classification is similar to the AO/Magerl classification. This conclusion reinforces the reproducibility of the new AOSpine classification. Level of evidence: IV,Type of Study: Case series.

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Tanaino, A. S. "Rock classification by drillability. Part I: analysis of the available classifications." Journal of Mining Science 41, no. 6 (November 2005): 541–49. http://dx.doi.org/10.1007/s10913-006-0017-8.

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K., Sivasakthi. "As An Analysis of Different Classification Technique Using Sentiment Analysis of Product Review." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (February 28, 2020): 622–28. http://dx.doi.org/10.5373/jardcs/v12sp3/20201300.

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Gillet, François, and Philippe Julve. "The integrated synusial approach to vegetation classification and analysis." Phytocoenologia 48, no. 2 (May 1, 2018): 141–52. http://dx.doi.org/10.1127/phyto/2017/0164.

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Chen, Chia-Mei, and Shi-Hao Wang. "Advancing Malware Classification With an Evolving Clustering Method." International Journal of Applied Metaheuristic Computing 9, no. 3 (July 2018): 1–12. http://dx.doi.org/10.4018/ijamc.2018070101.

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This article describes how honeypots and intrusion detection systems serve as major mechanisms for security administrators to collect a variety of sample viruses and malware for further analysis, classification, and system protection. However, increased variety and complexity of malware makes the analysis and classification challenging, especially when efficiency and timely response are two contradictory yet equally significant criteria in malware classification. Besides, similarity-based classifications exhibit insufficiency because the mutation and fuzzification of malware exacerbate classification difficulties. In order to improve malware classification speed and attend to mutation, this research proposes the ameliorated progressive classification that integrates static analysis and improved k-means algorithm. This proposed classification aims at assisting network administrators to have a malware classification preprocess and make efficient malware classifications upon the capture of new malware, thus enhancing the defense against malware.

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CR, Dhivyaa, Sudhakar R, Nithya K, and Prabhakar E. "Performance Analysis of Convolutional Neural Network for Retinal Image Classification." International Journal of Psychosocial Rehabilitation 23, no. 4 (December 20, 2019): 1149–59. http://dx.doi.org/10.37200/ijpr/v23i4/pr190441.

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Mutasher, Watheq Ghanim, and Abbas Fadhil Aljuboori. "Real Time Big Data Sentiment Analysis and Classification of Facebook." Webology 19, no. 1 (January 20, 2022): 1112–27. http://dx.doi.org/10.14704/web/v19i1/web19076.

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Many peoples use Facebook to connect and share their views on various issues, with the majority of user-generated content consisting of textual information. Since there is so much actual data from people who are posting messages on their situation in real time thoughts on a range of subjects in everyday life, the collection and analysis of these data, which may well be helpful for political decision or public opinion monitoring, is a worthwhile research project. Therefore, in this paper doing to analyze for public text post on Facebook stream in real time through environment Hadoop ecosystem by using apache spark with NLTK python. The post or feeds are gathered form the Facebook API in real time the data stored database used Apache spark to quick query processing the text partitions in each data nodes (machine). Also used Amazon cloud based Hadoop cluster ecosystem into processing of huge data and eliminate on-site hardware, IT support, and other operational difficulties and installation configuration Hadoop such as Hadoop distribution file system and Apache spark. By using the principle of decision dictionary, emotion analysis is used as positive, negative, or neutral and execution two algorithms in machine learning (naive bias & support vector machine) to build model predict the outcome demonstrates a high level of precision in sentiment analysis.

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Vlčková, Kateřina, Janek Berger, and Manuel Völkle. "Classification theories of foreign language learning strategies: an exploratory analysis." Studia paedagogica 18, no. 4 (2013): 93–113. http://dx.doi.org/10.5817/sp2013-4-6.

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Harel, Ben, Rick van Essen, Yisrael Parmet, and Yael Edan. "Viewpoint Analysis for Maturity Classification of Sweet Peppers." Sensors 20, no. 13 (July 6, 2020): 3783. http://dx.doi.org/10.3390/s20133783.

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The effect of camera viewpoint and fruit orientation on the performance of a sweet pepper maturity level classification algorithm was evaluated. Image datasets of sweet peppers harvested from a commercial greenhouse were collected using two different methods, resulting in 789 RGB—Red Green Blue (images acquired in a photocell) and 417 RGB-D—Red Green Blue-Depth (images acquired by a robotic arm in the laboratory), which are published as part of this paper. Maturity level classification was performed using a random forest algorithm. Classifications of maturity level from different camera viewpoints, using a combination of viewpoints, and different fruit orientations on the plant were evaluated and compared to manual classification. Results revealed that: (1) the bottom viewpoint is the best single viewpoint for maturity level classification accuracy; (2) information from two viewpoints increases the classification by 25 and 15 percent compared to a single viewpoint for red and yellow peppers, respectively, and (3) classification performance is highly dependent on the fruit’s orientation on the plant.

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Richards, W. Larry. "An Analysis of Aland's Teststellen in 1 John." New Testament Studies 44, no. 1 (January 1998): 26–44. http://dx.doi.org/10.1017/s0028688500016337.

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Under the direction of Professor Kurt Aland, the Institute of NT Textual Research developed a system for classifying Greek manuscripts without having to do a full collation.On the basis of 98 selected test passages, all extant manuscripts for the Catholic Epistles were classified. In order to determine the accuracy of the test passages for classification purposes, 112 fully collated manuscripts of 1 John from the files of Andrews University were used to compare classifications based on test passages and full collations. Classifications based on full collations of 1 John confirmed 83 per cent. of the Institute's classifications for the Catholic Epistles.

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Ivanyuk, Halyna. "Analysis of “Systematics of Polish Soils”." Visnyk of the Lviv University. Series Geography, no. 44 (November 28, 2013): 122–32. http://dx.doi.org/10.30970/vgg.2013.44.1210.

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The “Systematics of Polish Soils” (SgP, 2011) is very close to WRB and “Soil Taxonomy”. The morphological characteristics of the soils, investigated in the field, rather than soil genesis are diagnostic criteria. The main provisions of the new “Systematics”, properties of soils of higher taxonomic levels have been reviewed. Some diagnostic horizons, which were not borrowed from other classifications, have been described. We tried to find equivalents in the Ukrainian classification for some soils names. The correlation of Poland soils and WRB has been analyzed. Key words: Systematics of Polish Soils, classification, order, soil type, diagnostic horizon, WRB.

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C., Dr Victoria Priscill. "Analysis of Performance on Classification Algorithms for Credit Card Fraud Detection." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (February 28, 2020): 1403–9. http://dx.doi.org/10.5373/jardcs/v12sp3/20201391.

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Zhu Mi, 朱密, 朱洪建 Zhu Hongjian, and 陈瑶清 Chen Yaoqing. "基于ATR-SEIRAS分析技术的苯二氮卓类镇静药物无损分类与识别." Laser & Optoelectronics Progress 59, no. 2 (2022): 0230001. http://dx.doi.org/10.3788/lop202259.0230001.

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Goodfellow, Benjamin, Kairi Kõlves, and Diego De Leo. "Contemporary Classifications of Suicidal Behaviors." Crisis 41, no. 3 (May 2020): 179–86. http://dx.doi.org/10.1027/0227-5910/a000622.

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Abstract. Background: The absence of agreed-upon terminology, definitions, and operational classifications has hampered research in the field of suicidology for many decades. Aims and Method: We systematically reviewed contemporary classifications of suicidal behavior using the scope of the classification (comprehensive vs. restricted or single behaviors), and the presence or absence of a classification scheme and an operational definition of intent as features to enable analysis and comparison. Results: A chronological perspective shows that classification systems tend to be more and more precise and operational for clinical and research field work. However, on an international level, the development of classifications appears to precede the establishment of agreed-upon definitions and terms to describe suicidal behavior. Limitations: The review was conducted in English only. Conclusion: Universal agreement on definitions and terms for suicidal behavior should precede the development of classifications.

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Clifford, James P. "Manage Work Better to Better Manage Human Resources: A Comparative Study of Two Approaches to Job Analysis." Public Personnel Management 25, no. 1 (March 1996): 89–102. http://dx.doi.org/10.1177/009102609602500108.

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This study looks at the consequences of analyzing the same work. with two different methods of job analysis. Position Classification Questionnaire and Task Inventory approaches were used to study the same work functions. The Position Classification questionnaire divided these work functions into sixteen unique classifications for purposes of wage and salary determination. The Task Inventory approach divided these work functions into 28 unique classifications for purposes developing training programs. The two approaches arrived at considerably different conclusions with regard to how work should be organized into jobs and how jobs should be grouped into classifications. The data collected through job analysis will have significant impact on subsequent human resource decisions. Organizations should take great care in the collection data relating to the work of the organization in order efficiently and effectively manage the organization's human resources.

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Fruchard, Augustin, and Reinhard Schäfke. "Classification of resonant equations." Journal of Differential Equations 207, no. 2 (December 2004): 360–91. http://dx.doi.org/10.1016/j.jde.2004.06.016.

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Bergeron, Jean-François, Jean-Pierre Saucier, Denis Robert, and André Robitaille. "Québec forest ecological classification program." Forestry Chronicle 68, no. 1 (February 1, 1992): 53–63. http://dx.doi.org/10.5558/tfc68053-1.

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In 1986, the ministère des Forêts du Québec instituted a provincial program to study forest ecosystems entitled the "Forest Ecological Classification (FEC) Program." Under this program, a multidisciplinary team was charged with conducting ecological surveys, analyzing and characterizing the variables of the physical environment, classifying vegetation and preparing integrated forest inventory maps. Their goal is to complete the ecological classification of the forests in all territories south of the 52nd parallel. To undertake such a vast project, it was necessary to prepare detailed methodological guides for data collection, data analysis and mapping. The following products are now available for many different ecological regions: classifications of forest types, toposequences, physiographic and surface deposit maps and integrated forest inventory maps. Multivariate analysis methods are used in analyzing ecological data; in this way, hierarchical classifications and ordinations can be used as the basis for identifying and describing forest types, vegetation-physical environment relationships and successional patterns. Such ecological classification products are an indispensable tool for forest managers and users. Key words: ecological classification, forest ecology, forest management, forest site classification, multivariate analysis, physical environment, Québec.

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GONÇALVES, LUAN CELSO, ALBERTO OFENHEJM GOTFRYD, MARIA FERNANDA SILBER CAFFARO, NELSON ASTUR, RODRIGO GOES MEDÉA DE MENDONÇA, MARIANA KEI TOMA, and ROBERT MEVES. "ANALYSIS OF THE RELIABILITY OF THE LEE CLASSIFICATION FOR LUMBAR DISC HERNIATIONS." Coluna/Columna 19, no. 4 (December 2020): 258–61. http://dx.doi.org/10.1590/s1808-185120201904221700.

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ABSTRACT Objective To evaluate the intra- and interobserver reliability of the Lee et al. classification for migrated lumbar disc herniations. Methods In 2018, Ahn Y. et al. demonstrated the accuracy of this classification for radiologists. However, magnetic resonance images are often interpreted by orthopedists. Thus, a cross-sectional study was conducted by evaluating the magnetic resonance images of 82 patients diagnosed with lumbar disc herniation. The images were evaluated by 4 physicians, 3 of whom were spinal orthopedic specialists and 1 of whom was a radiologist. The intra- and interobserver analysis was conducted using the percentage of concordance and the Kappa method. Results The report of the classifications used by the four observers had a higher proportion of “zone 3” and “zone 4” type classifications in both evaluation moments. The most affected anatomical levels were L5-S1 (48.2%) and L4-L5 (41.4%). The intra- and interobserver concordance, when comparing both moments evaluation of the complementary examinations of the participants involved, was classified as moderate and very good. Conclusions Lee’s classification presented moderate to very good intra- and interobserver reliability for the evaluation of migrated lumbar disc herniation. Level of evidence II; Retrospective Study.

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Yang, Yiming, and Christopher G. Chute. "Hierarchical Distribution Analysis for Computer-assisted Classifications of Patient Records." Medical Decision Making 11, no. 4_suppl (December 1991): S94—S98. http://dx.doi.org/10.1177/0272989x9101104s18.

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The many existing hierarchical classifications present opportunities for computer-aided classification of medical data. The authors evaluate lexical term mapping followed by hierarchical node activation to determine the semantic locality of diagnoses in the American College of Radiology (ACR) classification. The activated hierarchy exposes conceptual structures behind lexically matched categories and markedly narrows the alternatives for human review. Several distribution analyses are evaluated for narrowing the candidate search space, to reduce ambiguity. The methods were tested on a prototype system, using a set of 78 samples of Mayo radiology diagnoses; their relative effectiveness is illustrated.

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Olive, Philippa. "Intimate partner violence and clinical coding: issues with the use of the International Classification of Disease (ICD-10) in England." Journal of Health Services Research & Policy 23, no. 4 (August 31, 2018): 212–21. http://dx.doi.org/10.1177/1355819618781413.

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Objectives To investigate the availability of intimate partner violence-related population health information in England and the possibility of identifying intimate partner violence-exposed population sample frames from administrative health data systems in England employing the International Classification of Disease. Methods Research design was an exploratory mixed method approach that involved trend analysis of numbers of applications of International Classification of Disease intimate partner violence classifications for admissions to NHS hospitals in England over a five-year period and semi-structured focus group interviews with clinical coders at an NHS Hospital. Results Use of International Classification of Disease intimate partner violence classifications was generally low across NHS Trusts in England. There was notable variation in the numbers of applications across NHS providers which demographic differences or rates of violence perpetration would not account for. The interview findings revealed conceptual ambiguity regarding intimate partner violence classifications which presented challenges for clinical coding and raised questions about the reliability and validity of International Classification of Disease’s intimate partner violence classifications. Conclusion It would not be possible to extract robust data about populations exposed to intimate partner violence for the purposes of audit, governance or research from health information systems using current International Classification of Disease-10 classifications. Development of these International Classification of Disease codes is essential for violence and abuse to be captured more accurately in health information systems and afforded greater prioritization and funding proportionate to the health burden and service demands that intimate partner violence is responsible for.

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S. M. AlQahtani, Arwa. "Product Sentiment Analysis for Amazon Reviews." International Journal of Computer Science and Information Technology 13, no. 3 (June 30, 2021): 15–30. http://dx.doi.org/10.5121/ijcsit.2021.13302.

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Recently, Ecommerce has Witnessed Rapid Development. As A Result, Online Purchasing has grown, and that has led to Growth in Online Customer Reviews of Products. The Implied Opinions in Customer Reviews Have a Massive Influence on Customer's Decision Purchasing, Since the Customer's Opinion About the Product is Influenced by Other Consumers' Recommendations or Complaints. This Research Provides an Analysis of the Amazon Reviews Dataset and Studies Sentiment Classification with Different Machine Learning Approaches. First, the Reviews were Transformed into Vector Representation using different Techniques, I.E., Bag-Of-Words, Tf-Idf, and Glove. Then, we Trained Various Machine Learning Algorithms, I.E., Logistic Regression, Random Forest, Naïve Bayes, Bidirectional Long-Short Term Memory, and Bert. After That, We Evaluated the Models using Accuracy, F1-Score, Precision, Recall, and Cross-Entropy Loss Function. Then, We Analyized The Best Performance Model in Order to Investigate Its Sentiment Classification. The Experiment was Conducted on Multiclass Classifications, Then we Selected the Best Performing Model And Re-Trained It on the Binary Classification.

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Gómez González, Carolina, Manuel Lecuona López, and María Cristina Hernández. "Análisis comparativo de políticas de diseño en Europa: clasificación y visualización de estrategias." kepes 14, no. 15 (January 17, 2017): 105–39. http://dx.doi.org/10.17151/kepes.2017.14.15.5.

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Ismail, Hanim, Zuhaina Zakaria, and Noraliza Hamzah. "Classification of Voltage Sag Using Multi-resolution Analysis and Support Vector Machine." Journal of Clean Energy Technologies 4, no. 3 (2015): 183–86. http://dx.doi.org/10.7763/jocet.2016.v4.276.

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MARAŞ, Abdullah, and Çiğdem EROL. "Dengesiz Veri Kümeleriyle Sınıflandırmada Gelişen Trendler: İlerlemenin Bibliyometrik Analizi." Bilişim Teknolojileri Dergisi 15, no. 3 (July 31, 2022): 275–88. http://dx.doi.org/10.17671/gazibtd.1019015.

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Dengesiz veri kümeleri, makine öğrenimi alanında hedef değişkenin oldukça çarpık dağılımı olarak tanımlanmaktadır. Dengesiz veri kümeleri, makine öğrenimi modelleri üzerindeki olumsuz etkilerinden dolayı son on yılda araştırmacıların dikkatini büyük ölçüde çekmiştir. Araştırmacılar dengesiz veri kümeleri sorunlarına çeşitli çözümler geliştirip literatürde paylaşmaktadır.Artan makale sayısı literatürü takip etmeyi zorlaştırmaktadır. Derleme makaleleri bu sorunun çözümüne katkıda bulunur. Bu çalışmada, dengesiz veri kümeleriyle sınıflandırmadaki çözüm önerilerini bulmak için bibliyometrik bir analiz yapılması amaçlanmaktadır. Bibliyometrik analiz, veri tabanlarından istatistik çıkarmaya dayalı nicel bir tekniktir. Bu çalışma, dengesiz veri kümeleri problemini ele alan ilk bibliyometrik analizi olma niteliğindedir.Bu çalışmada, Scopus veri tabanından, dengesiz veri kümeleriyle ilgili veri, R Bibliometrix package version 3.1.4 ile elde edilerek son çalışmalar ve yeni yaklaşımlar özetlendi. Seçilen anahtar kelimeler ile 1957-2021 yılları arasında 16255 yayına ilişkin veriler toplandı. Bu koleksiyon temel olarak 8871 makale, 6987 konferans bildirisi ve 175 derlemeden oluşmaktadır ve belge başına atıf sayısı yılda ortalama 1,66’dır. En çok atıf yapılan ülkeler arasında 106139 toplam atıf ile Amerika Birleşik Devletleri'ni, 13839 atıf ile Çin ve 9524 atıf ile Almanya takip etmektedir.

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López, Daniel A., Maria J. Rojas, Boris A. López, and Oscar Espinoza. "Quality assurance and the classification of universities: the case of Chile." Quality Assurance in Education 28, no. 1 (December 2, 2019): 33–48. http://dx.doi.org/10.1108/qae-05-2019-0051.

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Purpose The purpose of this study is to analyze the relationship between quality assurance, the traditional a priori approach, and a more recently developed empirical classification of universities, as a means of assessing whether the different classification systems fulfill their original purpose. The study analyzes Chilean university classifications because they have been used in setting up higher education public policies. Design/methodology/approach The existing classifications of Chilean universities were identified in the literature. Researchers determined categories, criteria and/or indicators used, as well as their main purposes as described by the authors of the classifications. All the criteria and indicators identified were directly related to the quality of academic activities and to the results of the university accreditation processes. The institutional accreditation outcomes and variables were studied using univariate and multivariate statistical analysis. Findings The a priori approach proved to be consistent with the results of institutional quality assurance, despite of the variability in individual performances. The empirical systems, however, do not show any contribution to the improvement of public policies in higher education. The results clearly show that classifications based on performance do not necessarily ensure improvements in institutional quality. Originality/value To the authors’ knowledge, this analysis is the first study of the relationship between university classification and quality assurance. The growing number of proposals for different empirical classifications in Chilean universities is evidence of institutional diversity only. However, the classification designs did not respond to purposes such as public policies improvements and other expected results from these instruments.

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Mahé, Guillaume, Carine Boulon, Ileana Desormais, Philippe Lacroix, Luc Bressollette, Jean-Louis Guilmot, Claire Le Hello, et al. "Statement for Doppler waveforms analysis." Vasa 46, no. 5 (August 1, 2017): 337–45. http://dx.doi.org/10.1024/0301-1526/a000638.

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Abstract. Peripheral artery disease of the lower limbs (PAD) is a common disease. Evaluation of PAD is primarily based on non-invasive examinations with analysis of the arterial Doppler signal being a key element. However, the description of arterial Doppler waveforms morphologies varies considerably across medical schools and from country to country. In order to overcome this issue, the French College of Teachers for Vascular Medicine (Collège des Enseignants de Médecine Vasculaire; CEMV) has summarised the published data on Doppler waveforms analysis and proposes a new “Saint-Bonnet” classification system to describe Doppler waveforms morphologies. The simplified Saint-Bonnet classification comprises eight types and allows taking into account if the Doppler signal does not revert to baseline. This classification, which is based on previous classifications, could improve the descriptions of both physiological and pathological waveforms, recorded in lower limb arteries. According to the reviewed literature, recommendations about the use of Doppler waveforms are proposed. This statement is a preamble to reach an international consensus on the subject, which would standardize the description of arterial waveforms and improve the management of PAD patients.

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Adimoolam, M., Raghav Sharma, A. John, M. Suresh Kumar, and K. Ashok Kumar. "Twitter Data Sentimental Analysis Using Multiple Classifications." Journal of Computational and Theoretical Nanoscience 17, no. 8 (August 1, 2020): 3776–81. http://dx.doi.org/10.1166/jctn.2020.9319.

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In the past few decades human beings have knowledgeable tremendous intensification in the interaction in particular micro blogging websites and various social media as online resources. Many kinds of data have been used and classification data to group and store are challenging in this real world scenario. Various machine and Natural Language Processing (NLP) were being applied to analysis the sentiment. A major concentration of this work was on using several machine learning algorithms to perform sentimental analysis and comparing various machine learning models for the sentiment classification. This work analysed various sentimental using multiple classifications. From the evaluation of this experiment, it can be concluded that NLP and machine learning Techniques are efficient for sentimental analysis.

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Rajbhandari, Sachit, Jagannath Aryal, Jon Osborn, Arko Lucieer, and Robert Musk. "Leveraging Machine Learning to Extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): A Case Study in Forest-Type Mapping." Remote Sensing 11, no. 5 (March 1, 2019): 503. http://dx.doi.org/10.3390/rs11050503.

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Ontology-driven Geographic Object-Based Image Analysis (O-GEOBIA) contributes to the identification of meaningful objects. In fusing data from multiple sensors, the number of feature variables is increased and object identification becomes a challenging task. We propose a methodological contribution that extends feature variable characterisation. This method is illustrated with a case study in forest-type mapping in Tasmania, Australia. Satellite images, airborne LiDAR (Light Detection and Ranging) and expert photo-interpretation data are fused for feature extraction and classification. Two machine learning algorithms, Random Forest and Boruta, are used to identify important and relevant feature variables. A variogram is used to describe textural and spatial features. Different variogram features are used as input for rule-based classifications. The rule-based classifications employ (i) spectral features, (ii) vegetation indices, (iii) LiDAR, and (iv) variogram features, and resulted in overall classification accuracies of 77.06%, 78.90%, 73.39% and 77.06% respectively. Following data fusion, the use of combined feature variables resulted in a higher classification accuracy (81.65%). Using relevant features extracted from the Boruta algorithm, the classification accuracy is further improved (82.57%). The results demonstrate that the use of relevant variogram features together with spectral and LiDAR features resulted in improved classification accuracy.

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Brattka, Vasco, and Guido Gherardi. "Effective Choice and Boundedness Principles in Computable Analysis." Bulletin of Symbolic Logic 17, no. 1 (March 2011): 73–117. http://dx.doi.org/10.2178/bsl/1294186663.

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AbstractIn this paper we study a new approach to classify mathematical theorems according to their computational content. Basically, we are asking the question which theorems can be continuously or computably transferred into each other? For this purpose theorems are considered via their realizers which are operations with certain input and output data. The technical tool to express continuous or computable relations between such operations is Weihrauch reducibility and the partially ordered degree structure induced by it. We have identified certain choice principles such as co-finite choice, discrete choice, interval choice, compact choice and closed choice, which are cornerstones among Weihrauch degrees and it turns out that certain core theorems in analysis can be classified naturally in this structure. In particular, we study theorems such as the Intermediate Value Theorem, the Baire Category Theorem, the Banach Inverse Mapping Theorem, the Closed Graph Theorem and the Uniform Boundedness Theorem. We also explore how existing classifications of the Hahn–Banach Theorem and Weak Kőnig's Lemma fit into this picture. Well-known omniscience principles from constructive mathematics such as LPO and LLPO can also naturally be considered as Weihrauch degrees and they play an important role in our classification. Based on this we compare the results of our classification with existing classifications in constructive and reverse mathematics and we claim that in a certain sense our classification is finer and sheds some new light on the computational content of the respective theorems. Our classification scheme does not require any particular logical framework or axiomatic setting, but it can be carried out in the framework of classical mathematics using tools of topology, computability theory and computable analysis. We develop a number of separation techniques based on a new parallelization principle, on certain invariance properties of Weihrauch reducibility, on the Low Basis Theorem of Jockusch and Soare and based on the Baire Category Theorem. Finally, we present a number of metatheorems that allow to derive upper bounds for the classification of the Weihrauch degree of many theorems and we discuss the Brouwer Fixed Point Theorem as an example.

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Martínez Prentice, Ricardo, Miguel Villoslada Peciña, Raymond D. Ward, Thaisa F. Bergamo, Chris B. Joyce, and Kalev Sepp. "Machine Learning Classification and Accuracy Assessment from High-Resolution Images of Coastal Wetlands." Remote Sensing 13, no. 18 (September 14, 2021): 3669. http://dx.doi.org/10.3390/rs13183669.

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High-resolution images obtained by multispectral cameras mounted on Unmanned Aerial Vehicles (UAVs) are helping to capture the heterogeneity of the environment in images that can be discretized in categories during a classification process. Currently, there is an increasing use of supervised machine learning (ML) classifiers to retrieve accurate results using scarce datasets with samples with non-linear relationships. We compared the accuracies of two ML classifiers using a pixel and object analysis approach in six coastal wetland sites. The results show that the Random Forest (RF) performs better than K-Nearest Neighbors (KNN) algorithm in the classification of pixels and objects and the classification based on pixel analysis is slightly better than the object-based analysis. The agreement between the classifications of objects and pixels is higher in Random Forest. This is likely due to the heterogeneity of the study areas, where pixel-based classifications are most appropriate. In addition, from an ecological perspective, as these wetlands are heterogeneous, the pixel-based classification reflects a more realistic interpretation of plant community distribution.

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Morgan, Jessica L., and Sarah E. Gergel. "Automated analysis of aerial photographs and potential for historic forest mapping." Canadian Journal of Forest Research 43, no. 8 (August 2013): 699–710. http://dx.doi.org/10.1139/cjfr-2012-0492.

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Historic information regarding forest status is essential to management and conservation. Manual interpretation of aerial photography has long been the standard for forest inventory; however, manual interpretation can be subjective, inconsistent, and labor-intensive. This research compares automated techniques with manual interpretation results. First, we used an automated process (called segmentation) to delineate homogeneous stands of forests (or objects), analogous to the goal of manually delineating of polygons. Second, we used classification and regression tree (CART) analysis to classify polygons into the forest and terrain schemes used in British Columbia. Most characteristics of objects created via segmentation were similar to manually delineated polygons, as >70% of attributes were statistically similar across local, polygon, and landscape-level comparisons. Using manual interpretations for comparative reference, automated classifications produced overall accuracies ranging from 62% to 86% with per-class accuracies ranging from 0% to 96%. Automated methods yielded classifications meeting provincial overlap accuracy targets and helped identify classifications most suited to automation. Automated procedures have potential for aiding swift utilization of extensive historical photography archives with several caveats for future consideration. While automated techniques may never replicate all aspects of forest inventory classification, automated techniques may be valuable in assisting different phases of the process.

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Teng, Yugang, Yuanzhen Zhang, and Zhenyu Wang. "Medical Image Analysis and Correlation Between Ankle Fracture Classification and Ankle Computed Tomography." Journal of Medical Imaging and Health Informatics 10, no. 12 (December 1, 2020): 2935–39. http://dx.doi.org/10.1166/jmihi.2020.3235.

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Objective: In this paper, we summarize computed tomography (CT) manifestations and characteristics of ankle fractures, and analyze the relationship between CT images and common ankle fracture classifications. Methods: A retrospective survey of 369 adult ankle fractures was performed. CT images of 1 cm horizontal cross-section above the ankle points and their characteristics were analyzed. Ankle fracture X-ray classification was performed, and the relationship between CT images and fracture X-ray classification was analyzed. Results: There is a correlation between CT images and Danis-Weber classification. The incidence of IOL fractures varies with the severity of Danis-Weber classification. After rank correlation test, the difference is statistically significant (Spearman R = 0.781,P < 0.001). CT images can detect IOL fractures that cannot be judged by X-ray fracture classification, and the incidence rate is 5.9%. Conclusions: The 1 cm horizontal cross-section CT image on the ankle point can clearly determine the combined tibiofibular IOL injury before surgery, and it has a good correlation with the Danis-Weber fracture classification, and can detect unexplainable IOL fractures in some radiographs.

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Dmitrieva, E. Yu, T. A. Pronina, O. V. Smirnova, I. S. Smyslova, O. B. Startseva, and E. S. Terekhova. "On the single networked links between classifications of sci-tech information. (Part 2. «The converters» between classifications. Distribution of headings semantic relation types)." Scientific and Technical Libraries, no. 7 (September 6, 2022): 32–51. http://dx.doi.org/10.33186/1027-3689-2022-7-32-51.

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For today, the RNPLS&T’s single network of classifications comprises four classification systems, i. e. State Rubicator of Sci-tech Information (GRNTI, version 2021) as the network foundation and core of the State System of Sci-tech Information, UDC (UDC tables in Russian), Classification Codes of the Higher Attestation Commission, WoS categories and subject areas, and international OECD classification. The semantic matches between the GRNTI headings and codes of the other classifications are defined as logical matching relations, extension inclusion and overlapping including that of key terms and word combinations used for indexing the thematic subject. Three types of semantic relations are determined: equivalency, hierarchy, and association. The statistics of matches in hierarchical levels of GRNTI thematic sections are cited. Based on the statistical analysis, the principal type of semantic matches is identified, along with the largest ratios for every type of relations for each of the classification under examination. The functional options for the single networked headings as the system of interrelated classifications of science objects are demonstrated as exemplified by crossrubrication of subject areas within the Critical Technologies List.

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H. van der Kamp, Peter. "Classification of integrable B-equations." Journal of Differential Equations 202, no. 2 (August 2004): 256–83. http://dx.doi.org/10.1016/j.jde.2004.04.001.

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Baggett, Lawrence W., Veronika Furst, Kathy D. Merrill, and Judith A. Packer. "Classification of generalized multiresolution analyses." Journal of Functional Analysis 258, no. 12 (June 2010): 4210–28. http://dx.doi.org/10.1016/j.jfa.2009.12.001.

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Mukhamadiev, E., and A. N. Naimov. "On the homotopy classification of positively homogeneous functions of three variables." Issues of Analysis 28, no. 2 (June 2021): 67–78. http://dx.doi.org/10.15393/j3.art.2021.9970.

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Journal articles on the topic 'Classification analysi'

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