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The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data.

, , , , , и . PSB, стр. 18-29. (2019)

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Kenneth Anders

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Kenneth Vanhoey

 

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Countdown Regression: Sharp and Calibrated Survival Predictions., , , , , и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 145-155. AUAI Press, (2019)Finding missed cases of familial hypercholesterolemia in health systems using machine learning., , , , , , , , , и 8 other автор(ы). npj Digit. Medicine, (2019)A framework for making predictive models useful in practice., , , , , , , , , и 3 other автор(ы). J. Am. Medical Informatics Assoc., 28 (6): 1149-1158 (2021)Learning Effective Representations from Clinical Notes., , , и . CoRR, (2017)Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse., , и . AMIA, AMIA, (2016)Language models are an effective representation learning technique for electronic health record data., , , , , и . J. Biomed. Informatics, (2021)The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data., , , , , и . PSB, стр. 18-29. (2019)Do no harm: a roadmap for responsible machine learning for health care, , , , , , , , , и 3 other автор(ы). Nature Medicine, 25 (9): 1337--1340 (2019)The Effectiveness of Transfer Learning in Electronic Health Records Data., , , , и . ICLR (Workshop), OpenReview.net, (2017)Learning Practice-based Evidence from Unstructured Clinical Notes., , , , , , и . AMIA, AMIA, (2013)