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Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different?

, , , , , , , , , and . ML4H@NeurIPS, volume 116 of Proceedings of Machine Learning Research, page 1-9. PMLR, (2019)

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Missing Data Imputation in the Electronic Health Record Using Deeply Learned Autoencoders., , and . PSB, page 207-218. (2017)Machine Learning for Health (ML4H) Workshop at NeurIPS 2018., , , , , , , , , and 8 other author(s). CoRR, (2018)Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium., , , , , , , , , and 33 other author(s). CoRR, (2024)International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium., , , , , , , , , and 77 other author(s). npj Digit. Medicine, (2020)Session Introduction., , , , and . PSB, page 286-294. (2020)Packaging Biocomputing Software to Maximize Distribution and Reuse., , , and . PSB, page 739-742. (2020)ML4H Abstract Track 2019., , , , , , , and . CoRR, (2020)Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III Critical Care Database., , and . PSB, page 123-132. (2018)Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models., , , , , , , and . npj Digit. Medicine, (2023)Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes., , and . PSB, page 8-17. (2019)