Статті в журналах з теми "Machine Learning, Bioinformatics, Rare Diseases, Healthcare"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-28 статей у журналах для дослідження на тему "Machine Learning, Bioinformatics, Rare Diseases, Healthcare".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте статті в журналах для різних дисциплін та оформлюйте правильно вашу бібліографію.
Hauschild, Anne-Christin, Marta Lemanczyk, Julian Matschinske, Tobias Frisch, Olga Zolotareva, Andreas Holzinger, Jan Baumbach, and Dominik Heider. "Federated Random Forests can improve local performance of predictive models for various healthcare applications." Bioinformatics 38, no. 8 (February 9, 2022): 2278–86. http://dx.doi.org/10.1093/bioinformatics/btac065.
Повний текст джерелаR, Pooja M. "Application of Learning Approaches in Healthcare." International Journal of Advanced Medical Sciences and Technology 1, no. 3 (June 10, 2021): 1–2. http://dx.doi.org/10.35940/ijamst.b3005.061321.
Повний текст джерелаM R, Pooja. "Application of Learning Approaches in Healthcare." International Journal of Advanced Medical Sciences and Technology 1, no. 3 (June 10, 2021): 1–2. http://dx.doi.org/10.54105/ijamst.b3005.061321.
Повний текст джерелаSetty, Samarth Thonta, Marie-Pier Scott-Boyer, Tania Cuppens, and Arnaud Droit. "New Developments and Possibilities in Reanalysis and Reinterpretation of Whole Exome Sequencing Datasets for Unsolved Rare Diseases Using Machine Learning Approaches." International Journal of Molecular Sciences 23, no. 12 (June 18, 2022): 6792. http://dx.doi.org/10.3390/ijms23126792.
Повний текст джерелаYao, Junfeng, Wen Sun, Zhongquan Jian, Qingqiang Wu, and Xiaoli Wang. "Effective knowledge graph embeddings based on multidirectional semantics relations for polypharmacy side effects prediction." Bioinformatics 38, no. 8 (February 17, 2022): 2315–22. http://dx.doi.org/10.1093/bioinformatics/btac094.
Повний текст джерелаKothari, Sonali, Shwetambari Chiwhane, Shruti Jain, and Malti Baghel. "Cancerous brain tumor detection using hybrid deep learning framework." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 3 (June 1, 2022): 1651. http://dx.doi.org/10.11591/ijeecs.v26.i3.pp1651-1661.
Повний текст джерелаPrakash, PKS, Srinivas Chilukuri, Nikhil Ranade, and Shankar Viswanathan. "RareBERT: Transformer Architecture for Rare Disease Patient Identification using Administrative Claims." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 1 (May 18, 2021): 453–60. http://dx.doi.org/10.1609/aaai.v35i1.16122.
Повний текст джерелаAhmad, Iftikhar, Muhammad Javed Iqbal, and Mohammad Basheri. "Biological Data Classification and Analysis Using Convolutional Neural Network." Journal of Medical Imaging and Health Informatics 10, no. 10 (October 1, 2020): 2459–65. http://dx.doi.org/10.1166/jmihi.2020.3179.
Повний текст джерелаAhmad, Iftikhar, Muhammad Javed Iqbal, and Mohammad Basheri. "Biological Data Classification and Analysis Using Convolutional Neural Network." Journal of Medical Imaging and Health Informatics 10, no. 10 (October 1, 2020): 2459–65. http://dx.doi.org/10.1166/jmihi.2020.31792459.
Повний текст джерелаCesario, Alfredo, Marika D’Oria, Riccardo Calvani, Anna Picca, Antonella Pietragalla, Domenica Lorusso, Gennaro Daniele, et al. "The Role of Artificial Intelligence in Managing Multimorbidity and Cancer." Journal of Personalized Medicine 11, no. 4 (April 19, 2021): 314. http://dx.doi.org/10.3390/jpm11040314.
Повний текст джерелаYaqoob, Abrar, Rabia Musheer Aziz, Navneet Kumar Verma, Praveen Lalwani, Akshara Makrariya, and Pavan Kumar. "A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification." Mathematics 11, no. 5 (February 21, 2023): 1081. http://dx.doi.org/10.3390/math11051081.
Повний текст джерелаBattineni, Gopi, Mohmmad Amran Hossain, Nalini Chintalapudi, and Francesco Amenta. "A Survey on the Role of Artificial Intelligence in Biobanking Studies: A Systematic Review." Diagnostics 12, no. 5 (May 9, 2022): 1179. http://dx.doi.org/10.3390/diagnostics12051179.
Повний текст джерелаRevel-Vilk, Shoshana, Gabriel Chodick, Varda Shalev, and Noga Gadir. "Study Design: Development of an Advanced Machine Learning Algorithm for the Early Diagnosis of Gaucher Disease Using Real-World Data." Blood 136, Supplement 1 (November 5, 2020): 13–14. http://dx.doi.org/10.1182/blood-2020-134414.
Повний текст джерелаTalwar, Vineet, Kundan Singh Chufal, and Srujana Joga. "Artificial Intelligence: A New Tool in Oncologist's Armamentarium." Indian Journal of Medical and Paediatric Oncology 42, no. 06 (December 2021): 511–17. http://dx.doi.org/10.1055/s-0041-1735577.
Повний текст джерелаKujawski, Stephanie, Boshu Ru, Amar K. Das, Nelson L. Afanador, richard baumgartner, Zhiwen Liu, Shuang Lu, et al. "1344. Predicting Measles Outbreaks in the United States: Application of Different Modeling Approaches." Open Forum Infectious Diseases 8, Supplement_1 (November 1, 2021): S759. http://dx.doi.org/10.1093/ofid/ofab466.1536.
Повний текст джерелаAkushevich, Igor, Carl V. Hill, and Heather E. Whitson. "LEVERAGING ANALYTIC METHODS TO EXPAND OPPORTUNITIES IN AGING-RELATED HEALTH DISPARITIES RESEARCH." Innovation in Aging 3, Supplement_1 (November 2019): S426. http://dx.doi.org/10.1093/geroni/igz038.1592.
Повний текст джерелаDutt, Yogesh, Ruby Dhiman, Tanya Singh, Arpana Vibhuti, Archana Gupta, Ramendra Pati Pandey, V. Samuel Raj, Chung-Ming Chang, and Anjali Priyadarshini. "The Association between Biofilm Formation and Antimicrobial Resistance with Possible Ingenious Bio-Remedial Approaches." Antibiotics 11, no. 7 (July 11, 2022): 930. http://dx.doi.org/10.3390/antibiotics11070930.
Повний текст джерелаMaurits, M., T. Huizinga, M. Reinders, S. Raychaudhuri, E. Karlson, E. Van den Akker, and R. Knevel. "FRI0585 HIGH-THROUGHPUT METHODOLOGY FOR EMR-BASED IDENTIFICATION OF CLINICAL SUB-PHENOTYPES IN COMPLEX PATIENT POPULATIONS." Annals of the Rheumatic Diseases 79, Suppl 1 (June 2020): 897.2–897. http://dx.doi.org/10.1136/annrheumdis-2020-eular.3489.
Повний текст джерелаShang, Aijing, Imi Faghmous, Dan Drozd, and Pablo Katz. "COMMODORE Cohort: A Novel, Real-World, Noninterventional Cohort Study Using a Patient-Centered Approach to Evaluate the Safety and Effectiveness of C5 Inhibitors in Patients with Paroxysmal Nocturnal Hemoglobinuria." Blood 136, Supplement 1 (November 5, 2020): 31–32. http://dx.doi.org/10.1182/blood-2020-137454.
Повний текст джерелаPressl, Christina, Caroline Jiang, Joel Correa da Rosa, Maximilian Friedrich, Winrich Freiwald, and Jonathan Tobin. "2093." Journal of Clinical and Translational Science 1, S1 (September 2017): 23. http://dx.doi.org/10.1017/cts.2017.93.
Повний текст джерелаSchaefer, Julia, Moritz Lehne, Josef Schepers, Fabian Prasser, and Sylvia Thun. "The use of machine learning in rare diseases: a scoping review." Orphanet Journal of Rare Diseases 15, no. 1 (June 9, 2020). http://dx.doi.org/10.1186/s13023-020-01424-6.
Повний текст джерелаLabory, Justine, Gwendal Le Bideau, David Pratella, Jean-Elisée Yao, Samira Ait-El-Mkadem Saadi, Sylvie Bannwarth, Loubna El-Hami, Véronique Paquis-Fluckinger, and Silvia Bottini. "ABEILLE: a novel method for ABerrant Expression Identification empLoying machine Learning from RNA-sequencing data." Bioinformatics, September 5, 2022. http://dx.doi.org/10.1093/bioinformatics/btac603.
Повний текст джерелаPati, Sarthak, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, G. Anthony Reina, Patrick Foley, et al. "Federated learning enables big data for rare cancer boundary detection." Nature Communications 13, no. 1 (December 5, 2022). http://dx.doi.org/10.1038/s41467-022-33407-5.
Повний текст джерелаFernandes, Felipe, Ingridy Barbalho, Daniele Barros, Ricardo Valentim, César Teixeira, Jorge Henriques, Paulo Gil, and Mário Dourado Júnior. "Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review." BioMedical Engineering OnLine 20, no. 1 (June 15, 2021). http://dx.doi.org/10.1186/s12938-021-00896-2.
Повний текст джерелаTisdale, Ainslie, Christine M. Cutillo, Ramaa Nathan, Pierantonio Russo, Bryan Laraway, Melissa Haendel, Douglas Nowak, et al. "The IDeaS initiative: pilot study to assess the impact of rare diseases on patients and healthcare systems." Orphanet Journal of Rare Diseases 16, no. 1 (October 22, 2021). http://dx.doi.org/10.1186/s13023-021-02061-3.
Повний текст джерелаHallowell, Nina, Shirlene Badger, Aurelia Sauerbrei, Christoffer Nellåker, and Angeliki Kerasidou. "“I don’t think people are ready to trust these algorithms at face value”: trust and the use of machine learning algorithms in the diagnosis of rare disease." BMC Medical Ethics 23, no. 1 (November 16, 2022). http://dx.doi.org/10.1186/s12910-022-00842-4.
Повний текст джерелаDros, Jesper T., Isabelle Bos, Frank C. Bennis, Sytske Wiegersma, John Paget, Chiara Seghieri, Jaime Barrio Cortés, and Robert A. Verheij. "Detection of primary Sjögren’s syndrome in primary care: developing a classification model with the use of routine healthcare data and machine learning." BMC Primary Care 23, no. 1 (August 9, 2022). http://dx.doi.org/10.1186/s12875-022-01804-w.
Повний текст джерелаJamian, Lia, Lee Wheless, Leslie J. Crofford, and April Barnado. "Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record." Arthritis Research & Therapy 21, no. 1 (December 2019). http://dx.doi.org/10.1186/s13075-019-2092-7.
Повний текст джерела