Cognitive Frailty in Stroke Survivors: Baseline Characteristics for 325 Patients

A 17.5 KB Excel file comparing baseline characteristics between cognitive frailty and non-cognitive frailty groups in training and validation cohorts. The dataset was authored by Shunli Zuo and last updated on March 25, 2026. It is associated with a study involving 325 stroke survivors and the evaluation of eight machine learning models.

Use Cases

• Training machine learning models to predict cognitive frailty based on baseline patient characteristics.
• Comparing feature importance for cognitive frailty using SHAP values from evaluated models.
• Validating predictive factors for cognitive frailty identified in a stroke patient cohort.

Strengths

• Dataset is small (17.5 KB) and likely easy to inspect and load.
• Associated study involved a specific cohort of 325 stroke survivors.
• License is CC-BY-4.0, permitting open sharing and adaptation.

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The temporal and geographic coverage of the underlying study is not specified.

Provenance

Source

figshare, author Shunli Zuo.

Collection Method

Likely derived from a clinical study, potentially the China Health and Retirement Longitudinal Study (CHARLS) based on platform tags.

Freshness

Last updated 2026-03-25 17:30:58; freshness should be verified.