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

Machine Learning (1370) Anxiety and Stress Disorders (999) Clinical Information and Decision Making (1314) Digital Biomarkers and Digital Phenotyping (177)

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 (3) Tweetations (7) Metrics

Soumya Choudhary   1 , BSc, MSc ;   Nikita Thomas   2 , BSc, MSc ;   Sultan Alshamrani   2 , BSc, MSc, PhD ;   Girish Srinivasan   2 , BSc, MSc, PhD ;   Janine Ellenberger   1 , MD ;   Usman Nawaz   2 , BSc, MSc ;   Roy Cohen   1 , BSc, MSc

1 Department of Research, Behavidence, Inc., New York, NY, United States

2 Department of Data Science, Behavidence, Inc., New York, NY, United States

Corresponding Author:

  • Soumya Choudhary, BSc, MSc
  • Department of Research
  • Behavidence, Inc.
  • 99 Wall Street, Suite Number 4004
  • New York, NY, 10005
  • United States
  • Phone: 1 8477228324
  • Email: soumya@behavidence.com