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Prediction of depression risk in chronic kidney disease using PSO-optimized random forest: a web-based application based on CHARLS data

Paper C Peer reviewed Observational

Key takeaways

Many people with kidney disease also struggle with depression. This study built a computer tool to predict who is most at risk, using survey data from older adults in China. The tool spots patterns of risk. It is not a treatment and does not prove what causes depression.

Who did this work

Siyu Li (University of Electronic Science and Technology of China) · Xianhua Wang (University of Electronic Science and Technology of China) · Jiangli Hu (University of Electronic Science and Technology of China)

Source

Paper · OpenAlex, Kidney disease concept sweep (verified C2778653478) · 2026-08-11
https://doi.org/10.3389/fpsyg.2026.1787463