Investigation on factors related to poor CPAP adherence using machine learning: a pilot study

To improve patients’ adherence to continuous positive airway pressure (CPAP) therapy, this study aimed to clarify whether machine learning-based data analysis can identify the factors related to poor CPAP adherence (i.e., CPAP usage that does not reach four hours per day for five days a week). We de...

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Detalles Bibliográficos
Autores principales: Eguchi, Kana, Yabuuchi, Tsutomu, Nambu, Masayuki, Takeyama, Hirofumi, Azuma, Shozo, Chin, Kazuo, Kuroda, Tomohiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666632/
https://www.ncbi.nlm.nih.gov/pubmed/36380059
http://dx.doi.org/10.1038/s41598-022-21932-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666632/
https://www.ncbi.nlm.nih.gov/pubmed/36380059
http://dx.doi.org/10.1038/s41598-022-21932-8

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