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A Practical Study on Personalized Acupuncture Rehabilitation Treatment based on Big Data Analysis

Yujie Li

Abstract


Acupuncture rehabilitation therapy, as an important field combining traditional Chinese medicine and modern rehabilitation medicine, has made significant progress in basic research, clinical practice, and technological innovation in recent years. Personalized acupuncture
rehabilitation treatment plans based on big data analysis integrate multi-source medical data to build precise diagnostic models, optimize acupoint selection and stimulation parameters, and achieve efficacy prediction and dynamic monitoring, providing patients with more scientific
and personalized treatment pathways. This article details the research advancements in acupuncture rehabilitation and the practical approaches
based on big data analysis, exploring their application value in precise diagnosis, optimization of personalized treatment, and closed-loop
management. The study results show that big data analysis technology can significantly enhance the accuracy and effectiveness of acupuncture rehabilitation therapy, offering new directions for the deep integration of traditional medicine and modern technology

Keywords


Big data analysis; Acupuncture rehabilitation; Personalized; Treatment plan

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References


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DOI: http://dx.doi.org/10.70711/pmr.v2i6.7256

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