This paper is in the following e-collection/theme issue:

Machine Learning (1471) Anxiety and Stress Disorders (1055) Clinical Information and Decision Making (1411) Digital Biomarkers and Digital Phenotyping (193)

Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38943, first published .
A Machine Learning Approach for Continuous Mining of Nonidentifiable Smartphone Data to Create a Novel Digital Biomarker Detecting Generalized Anxiety Disorder: Prospective Cohort Study

A Machine Learning Approach for Continuous Mining of Nonidentifiable Smartphone Data to Create a Novel Digital Biomarker Detecting Generalized Anxiety Disorder: Prospective Cohort Study

A Machine Learning Approach for Continuous Mining of Nonidentifiable Smartphone Data to Create a Novel Digital Biomarker Detecting Generalized Anxiety Disorder: Prospective Cohort Study

Authors of this article:

Soumya Choudhary1 Author Orcid Image ;   Nikita Thomas2 Author Orcid Image ;   Sultan Alshamrani2 Author Orcid Image ;   Girish Srinivasan2 Author Orcid Image ;   Janine Ellenberger1 Author Orcid Image ;   Usman Nawaz2 Author Orcid Image ;   Roy Cohen1 Author Orcid Image
Article Authors Cited by (6) Tweetations (7) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.