Random forest mortality prediction model

Biomarker

1 paper1 finding

  • Humans1

Associations

1

Mortality

upin humans1

1 study
  1. Random forest mortality prediction model predicts mortality in humans (AUC 0.873, 95% CI 0.856-0.891).

    Humanspatients with T2DM and hypertensionmedian follow-up of 6.75 yearsn = 2,428

    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

    JMIR medical informatics22 Sep 2026

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