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Establishing a prediction model of severe acute mountain sickness using deep learning of support vector machine recursive feature elimination

2023-01-09

Abstract excerpt

<title>Abstract</title><p>Background Severe acute mountain sickness (sAMS) can be life-threatening, but little is known about its genetic basis. Using microarray genotype data and phenotype data for deep learning, we aimed to explore the genetic susceptibility of sAMS for the purpose of prediction. Methods The study was based on microarray data from 112 peripheral blood mononuclear cell (PBMC) samples of 21 subjec...

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Literature Corpus work
c48bcd16-5173-535d-b453-601991f7093c
DOI
10.21203/rs.3.rs-2435892/v1
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Establishing a prediction model of severe acute mountain sickness using deep learning of support vector machine recursive feature eliminationDOI 10.21203/rs.3.rs-2435892/v1
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