Pediatric obstructive sleep apnea diagnosis: leveraging machine learning with linear discriminant analysis

• Main Authors: Han Qin (Author), Liping Zhang (Author), Xiaodan Li (Author), Zhifei Xu (Author), Jie Zhang (Author), Shengcai Wang (Author), Li Zheng (Author), Tingting Ji (Author), Lin Mei (Author), Yaru Kong (Author), Xinbei Jia (Author), Yi Lei (Author), Yuwei Qi (Author), Jie Ji (Author), Xin Ni (Author), Qing Wang (Author), Jun Tai (Author)
• Format: Book
• Published: Frontiers Media S.A., 2024-02-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

ObjectiveThe objective of this study was to investigate the effectiveness of a machine learning algorithm in diagnosing OSA in children based on clinical features that can be obtained in nonnocturnal and nonmedical environments.Patients and methodsThis study was conducted at Beijing Children's...