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AIHF-Refined

There is 1 paper on AIHF-Refined in aging research: 1 observational study in people. The newest story, Nov 10, 2026: “Health record models offer similar heart failure prediction”.

Biomarker

1 paper studies it1 finding

1 new paper in 30 daysSee all 1 papers on AIHF-Refined

“The AIHF-Refined model had an AUC of 0.840 (Stanford) and 0.741 (VA).”
Explainable Machine Learning for Predicting Incident Heart Failure from Routine Electronic Health Record DataJournal of cardiac failure2026doi:10.1016/j.cardfail.2026.08.013
  • Humans1

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1

Incident heart failure

upin humans1

1 study

  1. AIHF-Refined predicts incident heart failure in humans (Stanford and independent Veterans Affairs cohorts) (AUC 0.840 in Stanford; 0.741 in VA).

    “The AIHF-Refined model had an AUC of 0.840 (Stanford) and 0.741 (VA).”

    HumansStanford and independent Veterans Affairs cohorts5-year prediction horizon

    Health record models offer similar heart failure prediction

    Journal of cardiac failure

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Dec 2025: 0Jan 2026: 0Feb 2026: 0Mar 2026: 0Apr 2026: 0May 2026: 0Jun 2026: 0Jul 2026: 0Aug 2026: 0Sep 2026: 0Oct 2026: 0Nov 2026: 11 paper in 12 months
Journal of Cardiac Failure

Health record models offer similar heart failure prediction

The base model scored 0.847 in Stanford records and 0.750 in Veterans Affairs records, performing comparably to two established heart failure prediction tools.The base model scored 0.847 in Stanford records and 0.750 in Veterans Affairs records, performing comparably to two established heart failure prediction tools.

Cohort studyHeart failure
Paper

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