Prediction of early-onset bipolar using electronic health records.

Journal: Journal of child psychology and psychiatry, and allied disciplines
Published Date:

Abstract

BACKGROUND: Early identification of bipolar disorder (BD) provides an important opportunity for timely intervention. In this study, we aimed to develop machine learning models using large-scale electronic health record (EHR) data including clinical notes for predicting early-onset BD.

Authors

  • Bo Wang
    Department of Clinical Laboratory Medicine Center, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.
  • Yi-Han Sheu
    Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
  • Hyunjoon Lee
    Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.
  • Robert G Mealer
    Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
  • Victor M Castro
  • Jordan W Smoller