Article

A Formal Explanation Space for the Simultaneous Clustering of Neurology Phenotypes

2023-10-12

Abstract excerpt

<title>Abstract</title> <p><bold>Objective: </bold>Clustering is applied to biomedical datasets to identify meaningful subgroups of patients, proteins, genes, and diseases. Explainable AI (XAI) brings transparency and interpretability to the formation, composition, and quality of these clusters. This study creates a formal explanation space to enhance the interpretability of clusters of neurology phenotypes. <bol...

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Literature Corpus work: ec700fd0-4589-506b-8927-1d6699c91ac7
DOI: 10.21203/rs.3.rs-3411610/v1

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