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Article

Automated Feature Selection and Classification for High-Dimensional Biomedical Data

2021-10-12

Abstract excerpt

<h4>Background: </h4> Automated machine learning aims to automate the building of accurate predictive models, including the creation of complex data preprocessing pipelines. Although successful in many fields, they struggle to produce good results on biomedical datasets, especially given the high dimensionality of the data. <h4>Result: </h4> In this paper, we explore the automation of feature selection in these sc...

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Literature Corpus work
54ae916e-ae4b-54a7-bb54-d63e99b5bff1
DOI
10.21203/rs.3.rs-563410/v1
Open publication

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Automated Feature Selection and Classification for High-Dimensional Biomedical DataDOI 10.21203/rs.3.rs-563410/v1
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