Predicting the Risk of Sleep Disorders Using a Machine Learning–Based Simple Questionnaire: Development and Validation Study
BackgroundSleep disorders, such as obstructive sleep apnea (OSA), comorbid insomnia and sleep apnea (COMISA), and insomnia are common and can have serious health consequences. However, accurately diagnosing these conditions can be challenging as a result of the underrecogniti...
Main Authors: | Seokmin Ha, Su Jung Choi, Sujin Lee, Reinatt Hansel Wijaya, Jee Hyun Kim, Eun Yeon Joo, Jae Kyoung Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2023-09-01
|
Series: | Journal of Medical Internet Research |
Online Access: | https://www.jmir.org/2023/1/e46520 |
Similar Items
-
Validating a Consumer Smartwatch for Nocturnal Respiratory Rate Measurements in Sleep Monitoring
by: Hyunjun Jung, et al.
Published: (2023-09-01) -
Conversational Artificial Intelligence for Spinal Pain Questionnaire: Validation and User Satisfaction
by: Kyoung Hyup Nam, et al.
Published: (2022-06-01) -
Cross‐cultural adaptation of the Korean Synkinesis Assessment Questionnaire: A validation study
by: Sang‐Soo Nam, et al.
Published: (2023-12-01) -
Validity and Reliability of the Sleep and Lifestyle Questionnaire
by: Tuba Bay, et al.
Published: (2019-09-01) -
Patient expectations and satisfaction in hand surgery: A new assessment approach through a valid and reliable survey questionnaire
by: Shin Woo Choi, et al.
Published: (2022-01-01)