Predicting Brain Function Status Changes in Critically Ill Patients
Authors:
Chao Yan, EECS, Vanderbilt University
Cheng Gao, DBMI, Vanderbilt University Medical Center
Ziqi Zhang, EECS, Vanderbilt University
Wencong Chen, Dept of Biostats, School of Medicine, Vanderbilt University
Bradley A. Malin, DBMI, Vanderbilt University Medical Center
E. Wesley Ely, Critical Illness, Brain Dysfunction and Survivorship Center, Vanderbilt University Medical Center
Mayur B. Patel, Critical Illness, Brain Dysfunction and Survivorship Center, Vanderbilt University Medical Center
You Chen, DBMI, Vanderbilt University Medical Center
This method utilizes Light Gradient Boosting Machine (LightGBM) to predict the daily status changes of acute brain dysfunction for critically ill patients.