The Importance of Using Binary Classification Models in Predicting Depression from a Machine Learning Perspective

Abstract

A machine learning approach for continuous mining of nonidentifiable smartphone data to create a novel digital biomarker detecting generalized anxiety disorder: prospective cohort study.