Predicting Insomnia Response to Acupuncture With the Development of Innovative Machine Learning

Predicting Insomnia Response to Acupuncture With the Development of Innovative Machine Learning

Insomnia is one of the most prevalent mental health disorders, and acupuncture has shown promise as an effective non-pharmacological treatment with minimal side effects. However, the response to acupuncture varies among individuals, emphasizing the need for personalized approaches to treatment. To a...

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Bibliographic Details
Main Authors: Qingyun Wan, Kai Liu, Yuyang Bo, Xiya Yuan, Mufeng Li, Xiaoqiu Wang, Chuang Chen, Lanying Liu, Wenzhong Wu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Insomnia disorder
acupuncture
machine learning
efficacy evaluation
swarm intelligence algorithm
Online Access:https://ieeexplore.ieee.org/document/10918726/
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