Integrating epidemiologic modeling and explainable machine learning to predict and identify factors associated with self-reported depression among adults in Tennessee, United States.

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Bibliographic Details
Title: Integrating epidemiologic modeling and explainable machine learning to predict and identify factors associated with self-reported depression among adults in Tennessee, United States.
Authors: Muhammad MA; Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN, USA., Sani J; Department of Demography and Social Statistics, Federal University Birnin Kebbi, Birnin Kebbi, Kebbi State, Nigeria., Halane S; Department of Research and Innovation, Smart Vision for Consultancy and Development, Mogadishu, Somalia. salaad.halane@gmail.com.
Source: Discover mental health [Discov Ment Health] 2026 Jun 04. Date of Electronic Publication: 2026 Jun 04.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Switzerland NLM ID: 9918350483906676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2731-4383 (Electronic) Linking ISSN: 27314383 NLM ISO Abbreviation: Discov Ment Health
Database: MEDLINE Ultimate
Description
ISSN:2731-4383
DOI:10.1007/s44192-026-00506-4