Machine learning for scalable obstructive sleep apnea risk screening using digital phenotyping from wearable devices and clinical scales
- DOI
- 10.1038/s41598-026-58772-9
- Published
- 2026-06-19
- 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/s41598-026-58772-9,
title = {Machine learning for scalable obstructive sleep apnea risk screening using digital phenotyping from wearable devices and clinical scales},
author = {Hyungju Kim and Sujin Kim and Ji Won Yeom and Boong-Nyun Kim and Seung Pil Pack and Heon-Jeong Lee and Taesu Cheong and Chul-Hyun Cho},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-58772-9},
url = {https://doi.org/10.1038/s41598-026-58772-9}
}RIS
TY - JOUR TI - Machine learning for scalable obstructive sleep apnea risk screening using digital phenotyping from wearable devices and clinical scales AU - Hyungju Kim AU - Sujin Kim AU - Ji Won Yeom AU - Boong-Nyun Kim AU - Seung Pil Pack AU - Heon-Jeong Lee AU - Taesu Cheong AU - Chul-Hyun Cho PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-58772-9 UR - https://doi.org/10.1038/s41598-026-58772-9 ER -
APA
Kim, H., Kim, S., Yeom, J. W., Kim, B., Pack, S. P., Lee, H., Cheong, T., & Cho, C. (2026). Machine learning for scalable obstructive sleep apnea risk screening using digital phenotyping from wearable devices and clinical scales. Scientific Reports. https://doi.org/10.1038/s41598-026-58772-9
Source records
- crossref · retrieved 2026-09-26T05:46:50.817Z