pone.0235835.g004.tif (1.23 MB)
Feature importance in predicting subsequent occurrence of IHCA.
figure
posted on 2020-07-13, 17:29 authored by Ryo Ueno, Liyuan Xu, Wataru Uegami, Hiroki Matsui, Jun Okui, Hiroshi Hayashi, Toru Miyajima, Yoshiro Hayashi, David Pilcher, Daryl JonesImportance of each predictor in the 2 different random forest models: Vitals-Only model and Vitals+Labs model. 20 most important variables were summarized. Abbreviations: APTT, activated partial thromboplastin time; BUN, blood urea nitrogen; CRP, C-reactive protein; LD, lactate dehydrogenase; PT, prothrombin time.
