Machine learning for scalable obstructive sleep apnea risk screening using digital phenotyping from wearable devices and clinical scales

Hyungju Kim, Sujin Kim, Ji Won Yeom, Boong-Nyun Kim, Seung Pil Pack, Heon-Jeong Lee, Taesu Cheong, Chul-Hyun Cho

Open source

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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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

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