Machine-learning classification of bipolar disorder incorporating wearable-derived core body temperature and actigraphy-derived sleep indices.
- DOI
- 10.1002/pcn5.70359
- Published
- 2026 Jun
- Container
- PCN reports : psychiatry and clinical neurosciences
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1002/pcn5.70359,
title = {Machine-learning classification of bipolar disorder incorporating wearable-derived core body temperature and actigraphy-derived sleep indices.},
author = {Kurihara K and Shiroma A and Kamata M and Yoshimoto N and Saso A and Shimura A and Imai Y and Miyahara T and Takaesu Y},
year = {2026},
journal = {PCN reports : psychiatry and clinical neurosciences},
doi = {10.1002/pcn5.70359},
url = {https://doi.org/10.1002/pcn5.70359}
}RIS
TY - JOUR TI - Machine-learning classification of bipolar disorder incorporating wearable-derived core body temperature and actigraphy-derived sleep indices. AU - Kurihara K AU - Shiroma A AU - Kamata M AU - Yoshimoto N AU - Saso A AU - Shimura A AU - Imai Y AU - Miyahara T AU - Takaesu Y PY - 2026 JO - PCN reports : psychiatry and clinical neurosciences DO - 10.1002/pcn5.70359 UR - https://doi.org/10.1002/pcn5.70359 ER -
APA
K, K., A, S., M, K., N, Y., A, S., A, S., Y, I., T, M., & Y, T. (2026). Machine-learning classification of bipolar disorder incorporating wearable-derived core body temperature and actigraphy-derived sleep indices.. PCN reports : psychiatry and clinical neurosciences. https://doi.org/10.1002/pcn5.70359
Source records
- pubmed · retrieved 2026-09-26T22:28:21.601Z