Investigation on factors related to poor CPAP adherence using machine learning: a pilot study
- DOI
- 10.1038/s41598-022-21932-8
- Published
- 2022-11-15
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-022-21932-8,
title = {Investigation on factors related to poor CPAP adherence using machine learning: a pilot study},
author = {Kana Eguchi and Tsutomu Yabuuchi and Masayuki Nambu and Hirofumi Takeyama and Shozo Azuma and Kazuo Chin and Tomohiro Kuroda},
year = {2022},
journal = {Scientific Reports},
doi = {10.1038/s41598-022-21932-8},
url = {https://doi.org/10.1038/s41598-022-21932-8}
}RIS
TY - JOUR TI - Investigation on factors related to poor CPAP adherence using machine learning: a pilot study AU - Kana Eguchi AU - Tsutomu Yabuuchi AU - Masayuki Nambu AU - Hirofumi Takeyama AU - Shozo Azuma AU - Kazuo Chin AU - Tomohiro Kuroda PY - 2022 JO - Scientific Reports DO - 10.1038/s41598-022-21932-8 UR - https://doi.org/10.1038/s41598-022-21932-8 ER -
APA
Eguchi, K., Yabuuchi, T., Nambu, M., Takeyama, H., Azuma, S., Chin, K., & Kuroda, T. (2022). Investigation on factors related to poor CPAP adherence using machine learning: a pilot study. Scientific Reports. https://doi.org/10.1038/s41598-022-21932-8
Source records
- crossref · retrieved 2026-09-27T05:58:02.768Z