Identifying Cardiovascular Disease Risk Endotypes of Adolescent Major Depressive Disorder Using Exploratory Unsupervised Machine Learning.

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Bibliographic Details
Title: Identifying Cardiovascular Disease Risk Endotypes of Adolescent Major Depressive Disorder Using Exploratory Unsupervised Machine Learning.
Authors: Khalfan AF; SickKids Research Institute, Toronto, Canada., Campisi SC; SickKids Research Institute, Toronto, Canada., Lo RF; SickKids Research Institute, Toronto, Canada., McCrindle BW; Hospital for Sick Children, Toronto, Canada.; University of Toronto, Toronto, Canada., Korczak DJ; SickKids Research Institute, Toronto, Canada.; Hospital for Sick Children, Toronto, Canada.; University of Toronto, Toronto, Canada.
Source: JAACAP open [JAACAP Open] 2024 May 20; Vol. 3 (2), pp. 291-301. Date of Electronic Publication: 2024 May 20 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918627288306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2949-7329 (Electronic) Linking ISSN: 29497329 NLM ISO Abbreviation: JAACAP Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2949-7329
DOI:10.1016/j.jaacop.2024.04.004