Application and interpretation of machine learning models in predicting the risk of severe obstructive sleep apnea in adults

BACKGROUND: Obstructive sleep apnea (OSA) is a globally prevalent disease with a complex diagnostic method. Severe OSA is associated with multi-system dysfunction. We aimed to develop an interpretable machine learning (ML) model for predicting the risk of severe OSA and analyzing the risk factors ba...

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Detalles Bibliográficos
Autores principales: Shi, Yewen, Zhang, Yitong, Cao, Zine, Ma, Lina, Yuan, Yuqi, Niu, Xiaoxin, Su, Yonglong, Xie, Yushan, Chen, Xi, Xing, Liang, Hei, Xinhong, Liu, Haiqin, Wu, Shinan, Li, Wenle, Ren, Xiaoyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585776/
https://www.ncbi.nlm.nih.gov/pubmed/37858225
http://dx.doi.org/10.1186/s12911-023-02331-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585776/
https://www.ncbi.nlm.nih.gov/pubmed/37858225
http://dx.doi.org/10.1186/s12911-023-02331-z

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