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The Effectiveness of Transfer Learning in Electronic Health Records Data.

, , , , and . ICLR (Workshop), OpenReview.net, (2017)

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Learning Effective Representations from Clinical Notes., , , and . CoRR, (2017)Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse., , and . AMIA, AMIA, (2016)Finding missed cases of familial hypercholesterolemia in health systems using machine learning., , , , , , , , , and 8 other author(s). npj Digit. Medicine, (2019)Countdown Regression: Sharp and Calibrated Survival Predictions., , , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 145-155. AUAI Press, (2019)Do no harm: a roadmap for responsible machine learning for health care, , , , , , , , , and 3 other author(s). Nature Medicine, 25 (9): 1337--1340 (2019)The Effectiveness of Transfer Learning in Electronic Health Records Data., , , , and . ICLR (Workshop), OpenReview.net, (2017)Learning Practice-based Evidence from Unstructured Clinical Notes., , , , , , and . AMIA, AMIA, (2013)The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data., , , , , and . PSB, page 18-29. (2019)Language models are an effective representation learning technique for electronic health record data., , , , , and . J. Biomed. Informatics, (2021)Fine grain parallel processors and real-time applications: MIMD controller/SIMD array., , and . ICPR (2), page 324-331. IEEE, (1990)