Article

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

2021-01-24

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: 40497eeb-0178-5f3f-90ee-fe59d4298c67
DOI: 10.1101/2021.01.22.427799

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