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Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data

Published Online: 2025-05-10

Authors

Jeong, Jingyeong

Jeon, Yoonseo

Kim, Hyungju

Yeom, Ji Won

Shin, Yu-Bin

Kim, Sujin

Pack, Seung Pil

Lee, Heon-Jeong

Cheong, Taesu

Cho, Chul-Hyun
Funding

Funding for this research was provided by:

National Research Foundation of Korea (NRF-2021R1A5A8032895, NRF-2021R1A5A8032895)

Institute of Information & communications Technology Planning & Evaluation (IITP), South Korea (No. RS-2023-00224823)
License Information

Text and Data Mining valid from 2025-05-10

Version of Record valid from 2025-05-10
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Article History

Received: 15 January 2025

Accepted: 5 May 2025

First Online: 10 May 2025

Declarations

:

: The authors declare no competing interests.

: All study procedures were reviewed and approved by the Institutional Review Board (IRB) of Korea University Anam Hospital (IRB No. 2022AN0587). Written informed consent was obtained from all the participants.

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