Published on in Vol 21, No 4 (2019): April
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/12910, first published
.
![Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches](https://asset.jmir.pub/assets/73efcb8105989a4c3b450ca8af5db8c0.png 480w,https://asset.jmir.pub/assets/73efcb8105989a4c3b450ca8af5db8c0.png 960w,https://asset.jmir.pub/assets/73efcb8105989a4c3b450ca8af5db8c0.png 1920w,https://asset.jmir.pub/assets/73efcb8105989a4c3b450ca8af5db8c0.png 2500w)
1 Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, United States
2 Feinstein Institute for Medical Research, Northwell Health, New York, NY, United States