Showing 1 - 3 results of 3 for search 'Julian S Haimovich', query time: 0.02s
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Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study. by Chenxi Huang, Karthik Murugiah, Shiwani Mahajan, Shu-Xia Li, Sanket S Dhruva, Julian S Haimovich, Yongfei Wang, Wade L Schulz, Jeffrey M Testani, Francis P Wilson, Carlos I Mena, Frederick A Masoudi, John S Rumsfeld, John A Spertus, Bobak J Mortazavi, Harlan M Krumholz
Published 2018-11-01
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Cohort design and natural language processing to reduce bias in electronic health records research by Shaan Khurshid, Christopher Reeder, Lia X. Harrington, Pulkit Singh, Gopal Sarma, Samuel F. Friedman, Paolo Di Achille, Nathaniel Diamant, Jonathan W. Cunningham, Ashby C. Turner, Emily S. Lau, Julian S. Haimovich, Mostafa A. Al-Alusi, Xin Wang, Marcus D. R. Klarqvist, Jeffrey M. Ashburner, Christian Diedrich, Mercedeh Ghadessi, Johanna Mielke, Hanna M. Eilken, Alice McElhinney, Andrea Derix, Steven J. Atlas, Patrick T. Ellinor, Anthony A. Philippakis, Christopher D. Anderson, Jennifer E. Ho, Puneet Batra, Steven A. Lubitz
Published 2022-04-01
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