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

Digital Biomarkers and Digital Phenotyping (191) mHealth in a Clinical Setting (615) mHealth for Wellness, Behavior Change and Prevention (2871) mHealth for Data Collection and Research (955) Ontologies, Classifications, and Coding (239) eHealth Infrastructures (345) Crowdsourcing, Big Data, Quantified Self-based Research Data (9) Big Data (240) Data Science (270) Mobile Health (mhealth) (2939)

Published on in Vol 10, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30557, first published .
Enabling Research and Clinical Use of Patient-Generated Health Data (the mindLAMP Platform): Digital Phenotyping Study

Enabling Research and Clinical Use of Patient-Generated Health Data (the mindLAMP Platform): Digital Phenotyping Study

Enabling Research and Clinical Use of Patient-Generated Health Data (the mindLAMP Platform): Digital Phenotyping Study

Authors of this article:

Aditya Vaidyam1 Author Orcid Image ;   John Halamka2 Author Orcid Image ;   John Torous1 Author Orcid Image
Article Authors Cited by (40) Tweetations (16) Metrics

Aditya Vaidyam   1 , MS ;   John Halamka   2 , MD ;   John Torous   1 , MBI, MD

1 Beth Israel Deaconess Medical Center, Boston, MA, United States

2 Mayo Clinic, Rochester, MN, United States

Corresponding Author: