Article

Explainable Transfer Learning with Residual Attention BiLSTM for Prognosis of Ischemic Heart Disease.

2025-11-19

Abstract excerpt

<h4>Background: </h4> Early and accurate prediction of Ischemic Heart Disease (IHD) is critical to reducing cardiovascular mortality through timely intervention. While deep learning (DL) models have shown promise in disease prediction, many lack interpretability, generalizability, and fairness—particularly when deployed across demographically diverse populations. These shortcomings limit clinical adoption and risk...

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Literature Corpus work: 189ea968-2b3f-5901-837d-09e8f6e5da50
DOI: 10.12688/f1000research.166307.3

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