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Who doesn't fit? A multi-institutional study using machine learning to uncover the limits of opioid prescribing guidelines Yu, Justin K.; Marwaha, Jayson S.; Kennedy, Chris J.; Robinson, Kortney A.; Fleishman, Aaron; Beaulieu-Jones, Brendin R.; Bleicher, Josh; Huang, Lyen C.; Szolovits, Peter; Brat, Gabriel A. Share Save
Artificial intelligence to assess body composition on routine abdominal CT scans and predict mortality in pancreatic cancer- A recipe for your local application Hsu, Tzu-Ming Harry; Schawkat, Khoschy; Berkowitz, Seth J.; Wei, Jesse L.; Makoyeva, Alina; Legare, Kaila; DeCicco, Corinne; Paez, S. Nicolas; Wu, Jim S. H.; Szolovits, Peter; Kikinis, Ron; Moser, Arthur J.; Goehler, Alexander Share Save
Visceral Adiposity and Severe COVID-19 Disease: Application of an Artificial Intelligence Algorithm to Improve Clinical Risk Prediction Goehler, Alexander; Hsu, Tzu-Ming Harry; Seiglie, Jacqueline A.; Siedner, Mark J.; Lo, Janet; Triant, Virginia; Hsu, John; Foulkes, Andrea; Bassett, Ingrid; Khorasani, Ramin; Wexler, Deborah J.; Szolovits, Peter; Meigs, James B.; Manne-Goehler, Jennifer Share Save
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High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP) Zhang, Yichi; Cai, Tianrun; Yu, Sheng; Cho, Kelly; Hong, Chuan; Sun, Jiehuan; Huang, Jie; Ho, Yuk-Lam; Ananthakrishnan, Ashwin N.; Xia, Zongqi; Shaw, Stanley Y.; Gainer, Vivian; Castro, Victor; Link, Nicholas; Honerlaw, Jacqueline; Huang, Sicong; Gagnon, David; Karlson, Elizabeth W.; Plenge, Robert M.; Szolovits, Peter; Savova, Guergana; Churchill, Susanne; O'Donnell, Christopher; Murphy, Shawn N.; Gaziano, J. Michael; Kohane, Isaac; Cai, Tianxi; Liao, Katherine P. Share Save
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