TL;DR
Machine learning models have shown great promise in identifying the risk of depression, and may assist screening efforts in the early identification of CESD-10-defined high-risk depressive symptoms.
The proposed models demonstrated promising performance in identifying depression risk among older adults with chronic illnesses across different levels of cognitive impairment, and suggest that key predictors of depression may differ according to cognitive status, highlighting the importance of cognition-stratified scr...
Background Anxiety disorders are common among older adults but remain underrecognized in community settings, particularly in China where mental health resources are scarce. This study aimed to develop and compare multiple machine learning models for identifying anxiety symptoms in Chinese community-dwelling older adult...
Background: This study aimed to evaluate the performance of machine learning models in predicting depression risk among older adults living alone and to identify the features contributing to those predictions using explainable artificial intelligence (XAI). Methods: We analysed 2022 nationwide survey data in Korea. A t...
Objectives: This study aimed to develop and compare machine learning models for predicting depressive experience among Korean adolescents and to identify key predictors associated with depressive experience.Methods: Data from 54,152 adolescents who participated in the 2025 Korea Youth Risk Behavior Web-based Survey wer...
The logistic regression model demonstrated good discrimination and calibration for predicting long-term depressive symptoms among older adults with cardiovascular disease or hypertension and further independent and prospective validation is required before routine clinical implementation.
Background Depression is a prevalent psychological issue among chronic kidney disease (CKD) patients. Such symptoms can greatly affect the physical and mental health and life expectancy of middle-aged and older persons with CKD. Objective The aim of this study is to develop a depression risk prediction model for CKD pa...
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