基本信息
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职业迁徙
个人简介
My research is at the intersection of machine learning, natural language processing, and medicine. I develop techniques that support clinicians, patients, and health researchers in their information workflow by deriving insights from large observational clinical data (e.g., the electronic patient record) and patient-generated data (e.g., online health communities and mobile health). My research relies on two types of methods: (1) I design novel computational approaches that infer models of health phenomena and account for the specific biases of large health data; (2) I translate the learned models into actionable knowledge and robust systems within the healthcare ecosystem (e.g., a patient record summarization system for clinicians at the point of care).
研究兴趣
论文共 210 篇作者统计合作学者相似作者
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Jerard Z. Kneifati-Hayek, Elias Geist,Jo R. Applebaum,Alexis K. Dal Col,Hojjat Salmasian, Clyde B. Schechter,Noemie Elhadad, Joshua Weintraub,Jason S. Adelman
BMJ QUALITY & SAFETYno. 2 (2024): 132-135
Chao Pang,Xinzhuo Jiang,Nishanth Parameshwar Pavinkurve,Krishna S. Kalluri, Elise L. Minto, Jason Patterson,Linying Zhang,George Hripcsak,Noémie Elhadad,Karthik Natarajan
CoRR (2024)
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Oliver J Bear Don't Walk Iv,Adrienne Pichon,Harry Reyes Nieva,Tony Sun, Jaan Altosaar,Karthik Natarajan,Adler Perotte,Peter Tarczy-Hornoch,Dina Demner-Fushman,Noémie Elhadad
AMIA ... Annual Symposium proceedings. AMIA Symposium (2024): 289-298
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medRxiv : the preprint server for health sciencesno. 4 (2024): eadf9033-eadf9033
Machine Learning in Health Care (2023): 2-30
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medRxiv : the preprint server for health sciences (2023)
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