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Cost-sensitive Ensemble Feature Ranking and Automatic Threshold Selection for Chronic Kidney Disease Diagnosis

2020-07-06

Abstract excerpt

Automated medical diagnosis is one of the important machine learning applications in the domain of healthcare. In this regard, most of the approaches primarily focus on optimizing the accuracy of classification models. In this research, we argue that unlike general-purpose classification problems, medical applications, such as chronic kidney disease (CKD) diagnosis, require special treatment. In the case of CKD, a...

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Literature Corpus work
b897015d-9333-5d4f-a6eb-eab4df8f172f
DOI
10.20944/preprints202005.0458.v2
Open publication

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Cost-sensitive Ensemble Feature Ranking and Automatic Threshold Selection for Chronic Kidney Disease DiagnosisDOI 10.20944/preprints202005.0458.v2
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