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

Severe acute mountain sickness (sAMS) can be life-threatening, but little is known about its genetic basis. The study was aimed to explore the genetic susceptibility of sAMS for the purpose of prediction, using microarray data from 112 peripheral blood mononuclear cell (PBMC) samples of 21 subjects,...

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Detalles Bibliográficos
Autores principales: Yang, Min, Wu, Yang, Yang, Xing-biao, Liu, Tao, Zhang, Ya, Zhuo, Yue, Luo, Yong, Zhang, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030784/
https://www.ncbi.nlm.nih.gov/pubmed/36944699
http://dx.doi.org/10.1038/s41598-023-31797-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030784/
https://www.ncbi.nlm.nih.gov/pubmed/36944699
http://dx.doi.org/10.1038/s41598-023-31797-0

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