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A feature ranking algorithm for clustering medical data

2023-09-30

Abstract excerpt

<h4>Objective</h4> Clustering methods are often applied to electronic medical records (EMR) for various objectives, including the discovery of previously unrecognized disease subtypes. The abundance and redundancy of information in EMR data raises the need to rank the features by their relevance to clustering. <h4>Methods</h4> Here we propose FRIGATE, an ensemble feature ranking algorithm for clustering. FRIGATE r...

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Literature Corpus work
96ce78d0-8b12-5ca4-b18c-39af27c5d986
DOI
10.1101/2023.09.30.23296349
Open publication

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A feature ranking algorithm for clustering medical dataDOI 10.1101/2023.09.30.23296349
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