Zeitschriftenartikel zum Thema „Disease Prediction and Monitoring Modelling“
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Orakwue, Stella I., und Nkolika O. Nwazor. „Plant Disease Detection and Monitoring Using Artificial Neural Network“. International Journal of Scientific Research and Management 10, Nr. 01 (03.01.2022): 715–22. http://dx.doi.org/10.18535/ijsrm/v10i1.ec01.
Der volle Inhalt der QuelleKAIMI, I., und P. J. DIGGLE. „A hierarchical model for real-time monitoring of variation in risk of non-specific gastrointestinal infections“. Epidemiology and Infection 139, Nr. 12 (09.02.2011): 1854–62. http://dx.doi.org/10.1017/s0950268811000057.
Der volle Inhalt der QuelleWang, Y. P., N. H. Idris, F. M. Muharam, N. Asib und Alvin M. S. Lau. „Comparison of different variable selection methods for predicting the occurrence of Metisa Plana in oil palm plantation using machine learning“. IOP Conference Series: Earth and Environmental Science 1274, Nr. 1 (01.12.2023): 012008. http://dx.doi.org/10.1088/1755-1315/1274/1/012008.
Der volle Inhalt der QuelleSharma, V., S. K. Ghosh und S. Khare. „A PROPOSED FRAMEWORK FOR SURVEILLANCE OF DENGUE DISEASE AND PREDICTION“. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-1-2023 (21.04.2023): 317–23. http://dx.doi.org/10.5194/isprs-archives-xlviii-m-1-2023-317-2023.
Der volle Inhalt der QuelleVelasquez-Camacho, Luisa, Marta Otero, Boris Basile, Josep Pijuan und Giandomenico Corrado. „Current Trends and Perspectives on Predictive Models for Mildew Diseases in Vineyards“. Microorganisms 11, Nr. 1 (27.12.2022): 73. http://dx.doi.org/10.3390/microorganisms11010073.
Der volle Inhalt der QuelleAlodat, Iyas. „Analysing and predicting COVID-19 AI tracking using artificial intelligence“. International Journal of Modeling, Simulation, and Scientific Computing 12, Nr. 03 (17.04.2021): 2141005. http://dx.doi.org/10.1142/s1793962321410051.
Der volle Inhalt der QuelleHelget, Lindsay N., David J. Dillon, Bethany Wolf, Laura P. Parks, Sally E. Self, Evelyn T. Bruner, Evan E. Oates und Jim C. Oates. „Development of a lupus nephritis suboptimal response prediction tool using renal histopathological and clinical laboratory variables at the time of diagnosis“. Lupus Science & Medicine 8, Nr. 1 (August 2021): e000489. http://dx.doi.org/10.1136/lupus-2021-000489.
Der volle Inhalt der QuelleChua, Felix, Rama Vancheeswaran, Adrian Draper, Tejal Vaghela, Matthew Knight, Rahul Mogal, Jaswinder Singh et al. „Early prognostication of COVID-19 to guide hospitalisation versus outpatient monitoring using a point-of-test risk prediction score“. Thorax 76, Nr. 7 (10.03.2021): 696–703. http://dx.doi.org/10.1136/thoraxjnl-2020-216425.
Der volle Inhalt der QuelleMasih, Adven, und Alexander N. Medvedev. „Evaluating the performance of support vector machines based on different kernel methods for forecasting air pollutants“. Вестник ВГУ. Серия: Системный анализ и информационные технологии, Nr. 3 (30.09.2020): 5–14. http://dx.doi.org/10.17308/sait.2020.3/3035.
Der volle Inhalt der QuelleMrara, Busisiwe, Fathima Paruk, Constance Sewani-Rusike und Olanrewaju Oladimeji. „Development and validation of a clinical prediction model of acute kidney injury in intensive care unit patients at a rural tertiary teaching hospital in South Africa: a study protocol“. BMJ Open 12, Nr. 7 (Juli 2022): e060788. http://dx.doi.org/10.1136/bmjopen-2022-060788.
Der volle Inhalt der QuelleEswaran, Sarojini, Bharathiraj L.T und Jayanthi S. „Modelling of ambient air quality, Coimbatore, India“. E3S Web of Conferences 117 (2019): 00002. http://dx.doi.org/10.1051/e3sconf/201911700002.
Der volle Inhalt der QuelleLin, Lingmin, Kailai Liu, Huan Feng, Jing Li, Hengle Chen, Tao Zhang, Boyun Xue und Jiarui Si. „Glucose trajectory prediction by deep learning for personal home care of type 2 diabetes mellitus: modelling and applying“. Mathematical Biosciences and Engineering 19, Nr. 10 (2022): 10096–107. http://dx.doi.org/10.3934/mbe.2022472.
Der volle Inhalt der QuelleLiebenstund, Lisa, Mark Coburn, Christina Fitzner, Antje Willuweit, Karl-Josef Langen, Jingjin Liu, Michael Veldeman und Anke Höllig. „Predicting experimental success: a retrospective case-control study using the rat intraluminal thread model of stroke“. Disease Models & Mechanisms 13, Nr. 12 (22.10.2020): dmm044651. http://dx.doi.org/10.1242/dmm.044651.
Der volle Inhalt der QuelleKulkarni, Mrunalini Harish, Chaitanya Kulkarni, K. Suresh Babu, Saima Ahmed Rahin, Shweta Singh und D. Dinesh Kumar. „Data Fusion Approach for Managing Clinical Data in an Industrial Environment using IoT“. Scientific Programming 2022 (23.05.2022): 1–10. http://dx.doi.org/10.1155/2022/3603238.
Der volle Inhalt der QuelleSethy, Prabira Kumar, Santi Kumari Behera, Nithiyakanthan Kannan, Sridevi Narayanan und Chanki Pandey. „Smart paddy field monitoring system using deep learning and IoT“. Concurrent Engineering 29, Nr. 1 (28.01.2021): 16–24. http://dx.doi.org/10.1177/1063293x21988944.
Der volle Inhalt der QuelleJones, K. L., R. C. A. Thompson und S. S. Godfrey. „Social networks: a tool for assessing the impact of perturbations on wildlife behaviour and implications for pathogen transmission“. Behaviour 155, Nr. 7-9 (2018): 689–730. http://dx.doi.org/10.1163/1568539x-00003485.
Der volle Inhalt der QuelleZhao, Hongwei, Naveed N. Merchant, Alyssa McNulty, Tiffany A. Radcliff, Murray J. Cote, Rebecca S. B. Fischer, Huiyan Sang und Marcia G. Ory. „COVID-19: Short term prediction model using daily incidence data“. PLOS ONE 16, Nr. 4 (14.04.2021): e0250110. http://dx.doi.org/10.1371/journal.pone.0250110.
Der volle Inhalt der QuelleJombart, Thibaut, Stéphane Ghozzi, Dirk Schumacher, Timothy J. Taylor, Quentin J. Leclerc, Mark Jit, Stefan Flasche et al. „Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection“. Philosophical Transactions of the Royal Society B: Biological Sciences 376, Nr. 1829 (31.05.2021): 20200266. http://dx.doi.org/10.1098/rstb.2020.0266.
Der volle Inhalt der QuelleStefanescu, Simona, Relu Cocoș, Adina Turcu-Stiolica, Elena-Silvia Shelby, Marius Matei, Mihaela-Simona Subtirelu, Andreea-Daniela Meca et al. „Prediction of Treatment Outcome with Inflammatory Biomarkers after 2 Months of Therapy in Pulmonary Tuberculosis Patients: Preliminary Results“. Pathogens 10, Nr. 7 (22.06.2021): 789. http://dx.doi.org/10.3390/pathogens10070789.
Der volle Inhalt der QuelleANDERSON, D. P., D. S. L. RAMSEY, G. NUGENT, M. BOSSON, P. LIVINGSTONE, P. A. J. MARTIN, E. SERGEANT, A. M. GORMLEY und B. WARBURTON. „A novel approach to assess the probability of disease eradication from a wild-animal reservoir host“. Epidemiology and Infection 141, Nr. 7 (23.01.2013): 1509–21. http://dx.doi.org/10.1017/s095026881200310x.
Der volle Inhalt der QuellePrzybilla, Jens, Peter Ahnert, Holger Bogatsch, Frank Bloos, Frank M. Brunkhorst, Michael Bauer, Markus Loeffler, Martin Witzenrath, Norbert Suttorp und Markus Scholz. „Markov State Modelling of Disease Courses and Mortality Risks of Patients with Community-Acquired Pneumonia“. Journal of Clinical Medicine 9, Nr. 2 (05.02.2020): 393. http://dx.doi.org/10.3390/jcm9020393.
Der volle Inhalt der QuelleShi, Lei, Xiaoliang Feng, Longxing Qi, Yanlong Xu und Sulan Zhai. „Modeling and Predicting the Influence of PM2.5 on Children’s Respiratory Diseases“. International Journal of Bifurcation and Chaos 30, Nr. 15 (09.12.2020): 2050235. http://dx.doi.org/10.1142/s0218127420502351.
Der volle Inhalt der QuelleSuzuki, Ayako, und Hiroshi Nishiura. „Transmission dynamics of varicella before, during and after the COVID-19 pandemic in Japan: a modelling study“. Mathematical Biosciences and Engineering 19, Nr. 6 (2022): 5998–6012. http://dx.doi.org/10.3934/mbe.2022280.
Der volle Inhalt der QuelleSibarani, Imelda Juliana Br, Katherina Meylda Loy S und Suharjito Suharjito. „Enhancing Predictive Accuracy for Differentiated Thyroid Cancer (DTC) Recurrence Through Advanced Data Mining Techniques“. TIN: Terapan Informatika Nusantara 5, Nr. 1 (21.06.2024): 11–22. http://dx.doi.org/10.47065/tin.v5i1.5237.
Der volle Inhalt der QuelleThomas, Charlotte M., Joseph F. Standing, Catherine Smith, Satveer K. Mahil, Richard B. Warren, Jonathan Barker, Sam Norton, Zehra Arkir, Teresa Tsakok und Monica Arenas-Hernandez. „BT34 Minimizing drug exposure in psoriasis using a therapeutic drug monitoring dashboard“. British Journal of Dermatology 191, Supplement_1 (28.06.2024): i204—i205. http://dx.doi.org/10.1093/bjd/ljae090.431.
Der volle Inhalt der QuelleFerrari, Simone, Alessandro Santus und Luca Tendas. „Validation of a numerical software for the simulation of the pollutant dispersion from traffic in a real case: Some preliminary results“. EPJ Web of Conferences 299 (2024): 01010. http://dx.doi.org/10.1051/epjconf/202429901010.
Der volle Inhalt der QuelleMaciukiewicz, M., J. Schniering, H. Gabrys, M. Brunner, C. Blüthgen, C. Meier, M. Guckenberger et al. „OP0150 MACHINE LEARNING APPROACHES FOR RISK MODELLING IN INTERSTITIAL LUNG DISEASE ASSOCIATED WITH SYSTEMIC SCLEROSIS USING HIGH DIMENSIONAL IMAGE ANALYSIS“. Annals of the Rheumatic Diseases 80, Suppl 1 (19.05.2021): 90. http://dx.doi.org/10.1136/annrheumdis-2021-eular.2517.
Der volle Inhalt der QuelleKantasiripitak, W., S. G. WIcha, D. Thomas, I. Hoffman, M. Ferrante, S. Vermeire, K. van Hoeve und E. Dreesen. „P531 A model-based tool for guiding infliximab induction dosing to maximise long-term deep remission in children with inflammatory bowel diseases“. Journal of Crohn's and Colitis 17, Supplement_1 (30.01.2023): i659—i661. http://dx.doi.org/10.1093/ecco-jcc/jjac190.0661.
Der volle Inhalt der QuelleBose, Sanjukta N., Adam Verigan, Jade Hanson, Luis M. Ahumada, Sharon R. Ghazarian, Neil A. Goldenberg, Arabela Stock und Jeffrey P. Jacobs. „Early identification of impending cardiac arrest in neonates and infants in the cardiovascular ICU: a statistical modelling approach using physiologic monitoring data“. Cardiology in the Young 29, Nr. 11 (09.09.2019): 1340–48. http://dx.doi.org/10.1017/s1047951119002002.
Der volle Inhalt der QuelleDrake, Wonder P., Connie Hsia, Lobelia Samavati, Michelle Yu, Jessica Cardenas, Fabiola G. Gianella, John Boscardin und Laura L. Koth. „Risk Indicators of Sarcoidosis Evolution-Unified Protocol (RISE-UP): protocol for a multi-centre, longitudinal, observational study to identify clinical features that are predictive of sarcoidosis progression“. BMJ Open 13, Nr. 4 (April 2023): e071607. http://dx.doi.org/10.1136/bmjopen-2023-071607.
Der volle Inhalt der QuelleGerasimenko, Petr V. „Modeling the number of COVID-19 cases in St. Petersburg in the period 2020–2022“. City Healthcare 3, Nr. 3 (30.09.2022): 30–38. http://dx.doi.org/10.47619/2713-2617.zm.2022.v.3i3;30-38.
Der volle Inhalt der QuelleGerasimenko, Petr V. „Modeling the number of COVID-19 cases in St. Petersburg in the period 2020–2022“. City Healthcare 3, Nr. 3 (30.09.2022): 30–38. http://dx.doi.org/10.47619/2713-2617.zm.2022.v.3i3;30-38.
Der volle Inhalt der QuelleGerasimenko, Petr V. „Modeling the number of COVID-19 cases in St. Petersburg in the period 2020–2022“. City Healthcare 3, Nr. 3 (30.09.2022): 30–38. http://dx.doi.org/10.47619/2713-2617.zm.2022.v.3i3;30-38.
Der volle Inhalt der QuelleGerasimenko, Petr V. „Modeling the number of COVID-19 cases in St. Petersburg in the period 2020–2022“. City Healthcare 3, Nr. 3 (30.09.2022): 30–38. http://dx.doi.org/10.47619/2713-2617.zm.2022.v.3i3;30-38.
Der volle Inhalt der QuelleGerasimenko, Petr V. „Modeling the number of COVID-19 cases in St. Petersburg in the period 2020–2022“. City Healthcare 3, Nr. 3 (30.09.2022): 30–38. http://dx.doi.org/10.47619/2713-2617.zm.2022.v.3i3;30-38.
Der volle Inhalt der QuelleGerasimenko, Petr V. „Modeling the number of COVID-19 cases in St. Petersburg in the period 2020–2022“. City Healthcare 3, Nr. 3 (30.09.2022): 30–38. http://dx.doi.org/10.47619/2713-2617.zm.2022.v.3i3;30-38.
Der volle Inhalt der QuelleGerasimenko, Petr V. „Modeling the number of COVID-19 cases in St. Petersburg in the period 2020–2022“. City Healthcare 3, Nr. 3 (30.09.2022): 30–38. http://dx.doi.org/10.47619/2713-2617.zm.2022.v.3i3;30-38.
Der volle Inhalt der QuelleCowled, Brendan D., Fiona Giannini, Sam D. Beckett, Andrew Woolnough, Simon Barry, Lucy Randall und Graeme Garner. „Feral pigs: predicting future distributions“. Wildlife Research 36, Nr. 3 (2009): 242. http://dx.doi.org/10.1071/wr08115.
Der volle Inhalt der QuelleBritton, Tom, und Gianpaolo Scalia Tomba. „Estimation in emerging epidemics: biases and remedies“. Journal of The Royal Society Interface 16, Nr. 150 (Januar 2019): 20180670. http://dx.doi.org/10.1098/rsif.2018.0670.
Der volle Inhalt der QuelleGlauche, Ingmar, Hendrik Liebscher, Christoph Baldow, Matthias Kuhn, Philipp Schulze, Tom Haehnel, Astghik Voskanyan et al. „A New Computational Method to Predict Long-Term Minimal Residual Disease and Molecular Relapse after TKI-Cessation in CML“. Blood 128, Nr. 22 (02.12.2016): 3099. http://dx.doi.org/10.1182/blood.v128.22.3099.3099.
Der volle Inhalt der QuelleHeasley, Cole, J. Johanna Sanchez, Jordan Tustin und Ian Young. „Systematic review of predictive models of microbial water quality at freshwater recreational beaches“. PLOS ONE 16, Nr. 8 (26.08.2021): e0256785. http://dx.doi.org/10.1371/journal.pone.0256785.
Der volle Inhalt der QuelleMarston, Christopher, Clare Rowland, Aneurin O’Neil, Seth Irish, Francis Wat’senga, Pilar Martín-Gallego, Paul Aplin, Patrick Giraudoux und Clare Strode. „Developing the Role of Earth Observation in Spatio-Temporal Mosquito Modelling to Identify Malaria Hot-Spots“. Remote Sensing 15, Nr. 1 (22.12.2022): 43. http://dx.doi.org/10.3390/rs15010043.
Der volle Inhalt der QuelleEjma-Multański, Adam, Anna Wajda und Agnieszka Paradowska-Gorycka. „Cell Cultures as a Versatile Tool in the Research and Treatment of Autoimmune Connective Tissue Diseases“. Cells 12, Nr. 20 (19.10.2023): 2489. http://dx.doi.org/10.3390/cells12202489.
Der volle Inhalt der QuelleSánchez-pérez, Isabel, Jorge Melones Herrero, Alicia Villacampa, T. Sofia Figueiras, Carmela Calés, Carlos F. Sanchez Ferrer, Adoración Gómez Quiroga und Concha Peiro. „P160 MODELLING CARDIOVASCULAR TOXICITY IN CELLULO ASSOCIATED WITH ANTITUMORALS“. Journal of Hypertension 42, Suppl 3 (September 2024): e119. http://dx.doi.org/10.1097/01.hjh.0001063512.42008.51.
Der volle Inhalt der QuelleSkendžić, Sandra, Monika Zovko, Ivana Pajač Živković, Vinko Lešić und Darija Lemić. „The Impact of Climate Change on Agricultural Insect Pests“. Insects 12, Nr. 5 (12.05.2021): 440. http://dx.doi.org/10.3390/insects12050440.
Der volle Inhalt der QuelleZhao, Wei, Daolun Zhang, Thomas Storme, André Baruchel, Xavier Declèves und Evelyne Jacqz-Aigrain. „POPULATION PHARMACOKINETICS AND DOSING OPTIMIZATION OF TEICOPLANIN IN CHILDREN WITH MALIGNANT HAEMATOLOGICAL DISEASE“. Archives of Disease in Childhood 101, Nr. 1 (14.12.2015): e1.41-e1. http://dx.doi.org/10.1136/archdischild-2015-310148.46.
Der volle Inhalt der QuellePerera, Rafael, Richard Stevens, Jeffrey K. Aronson, Amitava Banerjee, Julie Evans, Benjamin G. Feakins, Susannah Fleming et al. „Long-term monitoring in primary care for chronic kidney disease and chronic heart failure: a multi-method research programme“. Programme Grants for Applied Research 9, Nr. 10 (August 2021): 1–218. http://dx.doi.org/10.3310/pgfar09100.
Der volle Inhalt der QuelleAkhgar, Ahmad, Dominic Sinibaldi, Lingmin Zeng, Alton B. Farris, Jason Cobb, Monica Battle, David Chain et al. „Urinary markers differentially associate with kidney inflammatory activity and chronicity measures in patients with lupus nephritis“. Lupus Science & Medicine 10, Nr. 1 (Januar 2023): e000747. http://dx.doi.org/10.1136/lupus-2022-000747.
Der volle Inhalt der QuellePerlini, Cinzia, Simone Garzon, Massimo Franchi, Valeria Donisi, Michela Rimondini, Mariachiara Bosco, Stefano Uccella et al. „Risk perception and affective state on work exhaustion in obstetrics during the COVID-19 pandemic“. Open Medicine 17, Nr. 1 (01.01.2022): 1599–611. http://dx.doi.org/10.1515/med-2022-0571.
Der volle Inhalt der QuelleZhang, Xianyu, Shiyao Lu, Hui Li, Xin Liu, Jun Wang, Liuhong Zeng, Zhipeng Lu et al. „Abstract P1-05-27: Liquid Biopsy for HER2 Status Assessment in Breast Cancer Using Surrogate DNA Methylation Markers“. Cancer Research 83, Nr. 5_Supplement (01.03.2023): P1–05–27—P1–05–27. http://dx.doi.org/10.1158/1538-7445.sabcs22-p1-05-27.
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