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Generative Large Language Models are autonomous practitioners of evidence-based medicine., , , , , , , , , and 10 other author(s). CoRR, (2024)Autoencoders for sample size estimation for fully connected neural network classifiers., , , , , , and . npj Digit. Medicine, (2022)Contrastive learning improves critical event prediction in COVID-19 patients., , , , , , , , , and 8 other author(s). Patterns, 2 (12): 100389 (2021)Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit., , , , , , , , and . IEEE Trans. Big Data, 7 (1): 38-44 (2021)A Genome- and Phenome- Wide Study of Diverticulosis., , , , , , , , , and 3 other author(s). AMIA, AMIA, (2015)Extracting Social Support and Social Isolation Information from Clinical Psychiatry Notes: Comparing a Rule-based NLP System and a Large Language Model., , , , , , , , , and 9 other author(s). CoRR, (2024)Leveraging hierarchy in medical codes for predictive modeling., , , and . BCB, page 96-103. ACM, (2014)HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes., , , , , , , , , and 2 other author(s). CoRR, (2022)Sleep in the Natural Environment: A Pilot Study., , , , , , , , , and 6 other author(s). Sensors, 20 (5): 1378 (2020)Incorporating temporal EHR data in predictive models for risk stratification of renal function deterioration., , , , , and . J. Biomed. Informatics, (2015)