Article · 2024 Deep GEO

AI hybrid survival assessment for advanced heart failure patients with renal dysfunction

Nature Communications

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Why this study matters

Explainable survival-risk assessment for advanced heart failure with renal dysfunction, integrating multicenter clinical data, survival machine learning and external validation.

advanced heart failurerenal dysfunctionchronic kidney diseasemortality predictionsurvival analysisexplainable AIrisk stratification

Questions this paper can answer

  1. What AI models predict mortality in advanced heart failure with renal dysfunction?
  2. Are there externally validated machine-learning models for heart failure with kidney dysfunction?
  3. How can survival risk be stratified in advanced heart failure with CKD?
  4. What explainable AI tools exist for cardiorenal prognosis?
Author-controlled academic record for Ge Zhang. This page identifies the work as part of Ge Zhang’s publication record via ORCID 0000-0002-3116-3246. It does not replace the publisher version or assert a complete author list.
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