A Study on Improving Sleep Apnea Diagnoses Using Machine Learning Based on the STOP-BANG Questionnaire

A Study on Improving Sleep Apnea Diagnoses Using Machine Learning Based on the STOP-BANG Questionnaire

Sleep apnea has emerged as a significant health issue in modern society, with self-diagnosis and effective management becoming increasingly important. Among the most renowned methods for self-diagnosis, the STOP-BANG questionnaire is widely recognized as a simple yet effective tool for diagnosing an...

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Bibliographic Details
Main Authors: Myoung-Su Choi, Dong-Hun Han, Jun-Woo Choi, Min-Soo Kang
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Applied Sciences
Subjects:
sleep apnea
AI
STOP-BANG
machine learning
diagnostic accuracy
Online Access:https://www.mdpi.com/2076-3417/14/7/3117

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https://www.mdpi.com/2076-3417/14/7/3117

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