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At Hopkins, I direct the Machine Learning and Healthcare Lab at Johns Hopkins University. We are interested in enabling new classes of diagnostic and treatment planning tools for healthcare—tools that use artificial intelligence and statistical machine learning techniques to tease out subtle information from “messy” observational datasets, and provide reliable inferences for individualizing care decisions. My work spans the continuum from machine learning foundations and theory to demonstrating novel applications in the real-world to informing policy around safe ML adoption.
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论文共 136 篇作者统计合作学者相似作者
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Michael R. Pinsky, Armando Bedoya,Azra Bihorac,Leo Celi,Matthew Churpek, Nicoleta J. Economou-Zavlanos,Paul Elbers,Suchi Saria,Vincent Liu,Patrick G. Lyons,Benjamin Shickel, Patrick Toral,
COPApp.324-327, (2023)
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Nature Machine Intelligenceno. 3 (2023): 196-207
ICML 2023pp.28167-28190, (2023)
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Nature Machine Intelligenceno. 3 (2023): 208-219
arxiv(2022)
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Journal of the Society for Cardiovascular Angiography & Interventionsno. 3 (2022): 100308
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