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MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset

2021-04-14

Abstract excerpt

<title>Abstract</title> <p>The recent release of large-scale healthcare datasets has greatly propelled the research of data-driven deep learning models for healthcare applications. However, due to the nature of such deep black-boxed models, concerns about interpretability, fairness, and biases in healthcare scenarios where human lives are at stake call for a careful and thorough examination of both datasets and m...

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Literature Corpus work
bb0f493e-7365-5730-8299-777bfb3e2fab
DOI
10.21203/rs.3.rs-402058/v1
Open publication

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MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV DatasetDOI 10.21203/rs.3.rs-402058/v1
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