Preoperative predictions of in-hospital mortality using electronic medical record data
Brian L. Hill, Robert J. Brown, Eilon Gabel, Nadav Rakocz, Christine Lee, Maxime P. Cannesson, Pierre Baldi, Loes M. Olde Loohuis, Ruth Johnson, Brandon Jew, Uri Maoz, Aman Mahajan, Sriram Sankararaman, Ira S. Hofer, Eran Halperin
This paper develops a machine learning model using EMR data to predict in-hospital mortality preoperatively, achieving higher accuracy than existing clinical scores.
British Journal of Anaesthesia · Oct 15, 2019Peer-reviewedBioinformatics