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July 3, 2026Clinical Interventions in AgingOpen Access

Development and Internal Validation of a Machine Learning–Based Classification Model for Identifying Cognitive Frailty in Older Inpatients with Type 2 Diabetes Mellitus

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Authors

SWS N WangTTTingting TanQWQingqing Wang

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Overview

Randomized trial demonstrates effective identification of cognitive frailty in older adults with diabetes, suggesting improved early screening tools.

Key Points

  • The study aims to develop and validate a machine learning model for identifying cognitive frailty in older adults with type 2 diabetes mellitus.
  • Included 523 older adults (≥65 years) with type 2 diabetes from a tertiary care center.
  • Collected 35 candidate variables and applied multiple imputation for missing data.
  • Employed LASSO regression for feature selection and six algorithms for model training and validation.
  • Logistic regression model achieved AUC of 0.947, AP of 0.936, accuracy of 0.879, sensitivity of 0.838, specificity of 0.910 on the test set.
  • Eight indicators were identified: age, physical exercise frequency, depressive symptoms scores, social support level, nutritional status, diabetes complications, cognitive activity frequency, and insomnia scores.
  • SHAP analysis highlighted the major contributors to cognitive frailty, indicating areas for clinical focus.

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/6a47513c5c29257aa257892dhttps://doi.org/10.2147/cia.s594752
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Construction of a Machine Learning‐Based Risk Prediction Model for Cognitive Frailty in Older Adults With Type 2 Diabetes Mellitus2026
  2. 2Development and validation of a machine learning-based prediction model for frailty in older adults with diabetes: a study protocol for a retrospective cohort study2025 · 1 citations
  3. 3Development of a prediction model for frailty among older Chinese individuals with type 2 diabetes residing in the community2024 · 4 citations
  4. 4Interpretable machine learning for predicting mild cognitive impairment in elderly patients with type 2 diabetes mellitus: model development and performance assessment2026
  5. 5Development and comparative validation of multiple models for cognitive frailty in older adults residing in nursing homes2025 · 1 citations