Research Progress on the Risk Prediction Model of Cognitive Frailty in Elderly Patients with Diabetes
Abstract：Cognitive frailty is an important factor affecting the prognosis and quality of life of elderly patients with diabetes. Early identification of cognitive frailty and implementation of personalized intervention plans can delay or even reverse the occurrence of cognitive frailty. There are numerous studies on the risk prediction models for cognitive frailty in elderly diabetic patients, with various methods. This article compares the advantages and disadvantages of traditional statistical methods and machine learning algorithms in constructing prediction models, summarizes and analyzes the current research status of risk prediction models for cognitive frailty in elderly diabetic patients, and provides references and insights for future model construction and validation.
Keywords：type 2 diabetes mellituscognitive frailtyrisk prediction modelreview
Publication Date：2026-01-15
Online Publishing Date：2026-01-28(First online date of this platform, not the publication date of the document)
Pages：4( 55-58 )