Prediction of late-onset depression in the elderly Korean population using machine learning algorithms

Prediction of late-onset depression in the elderly Korean population using machine learning algorithms

Abstract Late-onset depression (LOD) refers to depression that newly appears in elderly individuals without prior depression episodes. Predicting future depression is crucial for mitigating the risk of major depression in prospective patients. This study aims to develop machine learning models to pr...

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Bibliographic Details
Main Authors: Jong Wan Park, Chang Woo Ko, Diane Youngmi Lee, Jae Chul Kim
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Late-onset depression
Longitudinal study of aging
Depression trajectories
Machine learning algorithms
Predictive performance
Online Access:https://doi.org/10.1038/s41598-025-85157-1
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