Explaining Black-Box Models for Biomedical Text Classification

In this paper, we propose a novel method named Biomedical Confident Itemsets Explanation (BioCIE), aiming at post-hoc explanation of black-box machine learning models for biomedical text classification. Using sources of domain knowledge and a confident itemset mining method, BioCIE discretizes the d...

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Bibliographic Details
Main Authors:	Moradi, M. (Author), Samwald, M. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	article artificial intelligence Biomedical text Biomedical text classification black-box classifiers Black-box model Classification (of information) classifier data mining Data Mining Decision boundary Domain knowledge explainable artificial intelligence human Humans Individual prediction information extraction Interpretability interpretable machine learning machine learning Machine Learning Machine learning models mining Mining prediction Semantic relationships semantics Semantics software Software Text mining
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Explaining Black-Box Models for Biomedical Text Classification

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