Article

REM: An Integrative Rule Extraction Methodology for Explainable Data Analysis in Healthcare

2021-01-26

Abstract excerpt

<h4>ABSTRACT</h4> Deep learning models are receiving increasing attention in clinical decision-making, however the lack of explainability impedes their deployment in day-to-day clinical practice. We propose REM, an explainable methodology for extracting rules from deep neural networks and combining them with rules from non-deep learning models. This allows integrating machine learning and reasoning for investigat...

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Literature Corpus work: b0b8b95c-c1f7-5b08-bda7-2f969419becf
DOI: 10.1101/2021.01.25.21250459

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