Health AI Central
Share:
Peer-Reviewed Publication
J Affect Disord2023;338129-134.October 1, 2023Journal Article

Symptom clustering of major depression in a national telehealth sample.

Heather G Belanger1, Christine Lee2, Mirène Winsberg2
1Brightside Health Inc., 5241F Diamond Heights Blvd #3422, San Francisco CA 94131, United States of America; University of South Florida, Department of Psychiatry and Behavioral Neurosciences, 3515 E Fletcher Ave, Tampa, FL 33613, United States of America. Electronic address: heather.belanger@brighgtside.com.
2Brightside Health Inc., 5241F Diamond Heights Blvd #3422, San Francisco CA 94131, United States of America.
PubMed DOI

Abstract

BACKGROUND: Major depressive disorder (MDD) is a heterogeneous disorder whose possible symptom combinations have not been well delineated. The aim of this study was to explore the heterogeneity of symptoms experienced by those with MDD to characterize phenotypic presentations. METHODS: Cross-sectional data (N = 10,158) from a large telemental health platform were used to identify subtypes of MDD.…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.