Published on in Vol 6, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37736, first published .
A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study

A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study

A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study

Soumya Choudhary 1, BSc, MSc;  Nikita Thomas 2, BSc, MSc;  Janine Ellenberger 1, MD;  Girish Srinivasan 1, BEng, MSc, PhD;  Roy Cohen 1, BSc, MSc

1 Research, Behavidence Inc , New York, NY, US

2 Data Science, Behavidence Inc , New York, NY, US

Corresponding Author: