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A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19., , , , , , , and . Artif. Intell. Medicine, (2024)Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system., , , , , , , , , and 1 other author(s). npj Digit. Medicine, (2024)Contrastive learning improves critical event prediction in COVID-19 patients., , , , , , , , , and 8 other author(s). Patterns, 2 (12): 100389 (2021)A Genome- and Phenome- Wide Study of Diverticulosis., , , , , , , , , and 3 other author(s). AMIA, AMIA, (2015)StudyU: a platform for designing and conducting innovative digital N-of-1 trials., , , , , , , , , and 6 other author(s). CoRR, (2020)Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions., , , , , , , , , and 5 other author(s). AIME, volume 12299 of Lecture Notes in Computer Science, page 14-25. Springer, (2020)Disease progression subtype discovery from longitudinal EMR data with a majority of missing values and unknown initial time points., , , , , , and . AMIA, AMIA, (2014)Development and validation of an electronic phenotyping algorithm for chronic kidney disease., , , , , , , , , and 3 other author(s). AMIA, AMIA, (2014)Extracting Social Isolation Information From Psychiatric Notes in the Electronic Health Records., , , , , , , , , and 4 other author(s). AMIA, AMIA, (2021)Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room., , , , , , , , , and 2 other author(s). J. Am. Medical Informatics Assoc., 31 (9): 1921-1928 (2024)