Published on in Vol 9, No 3 (2021): March
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/24465, first published
.
Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach
Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach
1 Signal Theory and Communications Department, Universidad Carlos III de Madrid, Leganés, Spain
2 Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
3 Gregorio Marañón Health Research Institute, Madrid, Spain