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A longitudinal cohort study: developing an interpretable machine learning model to predict incident depression risk

Yin Chen1, Mingyu Chen2

  • 1Department of General Surgery, The Affiliated Xuancheng Hospital of Wannan Medical College (Xuancheng People's Hospital), Xuancheng, 242000, P. R. China.

BMC Geriatrics
|February 25, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
CHARLSChronic liver diseasesDepressionGastrointestinal diseasesMachine learningShapley additive explanation

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...