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Explainable Artificial Intelligence for Tabular Data in Healthcare: A Systematic Review of Methods, Evaluation, and Applications

2026-05-07

Abstract excerpt

Explainable Artificial Intelligence (XAI) has emerged as a critical enabler for the adoption of machine learning models in high-stakes domains such as healthcare. While significant progress has been made in XAI for computer vision and natural language processing, tabular data—the predominant format of electronic health records—presents unique challenges and opportunities. This systematic review provides a comprehe...

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Literature Corpus work
cb29b9e9-c148-5f7b-90bb-7799ba1b2264
DOI
10.20944/preprints202605.0322.v1
Open publication

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