Development and Validation of a Machine Learning-Based Model for Predicting All-Cause Mortality Risk in Patients With Type 2 Diabetes Mellitus Combined With Hypertension: National Cohort Study.
BACKGROUND: Type 2 diabetes mellitus (T2DM) combined with hypertension significantly increases mortality risk, yet accurate risk prediction models remain limited. CONCLUSIONS: Our machine learning-based model provides accurate all-cause mortality prediction for patients with T2DM and hypertension, potentially supporting clinical decision-making and risk stratification in this high.
BACKGROUND: Type 2 diabetes mellitus (T2DM) combined with hypertension significantly increases mortality risk, yet accurate risk prediction models remain limited. CONCLUSIONS: Our machine learning-based model provides accurate all-cause mortality prediction for patients with T2DM and hypertension, potentially supporting clinical decision-making and risk stratification in this high.
What the study was
- Study design
- Diagnostic Validation Study
- Population
- n=2428
- Sample size
- 2428
- Category
- Diagnostics
- Maturity
- Validated
- Journal
- JMIR medical informatics
Why it surfaced
Scored 8/10 (Diagnostic Validation Study; novelty=2, relevance=2, design_quality=2, population_or_unmet_need=2). HIGH priority.
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