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Classification Algorithm-Based fMRI Images for Evaluating the Effect of Yishen Tiaodu Acupuncture on the Recovery Period of Cerebral Infarction.

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  • المؤلفون: Feng Z;Feng Z; Hu M; Hu M; Yuan W; Yuan W; Zhao X; Zhao X; Zeng J; Zeng J; Zhou K; Zhou K
  • المصدر:
    Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 May 25; Vol. 2022, pp. 3592145. Date of Electronic Publication: 2022 May 25 (Print Publication: 2022).
  • نوع النشر :
    Journal Article
  • اللغة:
    English
  • معلومة اضافية
    • المصدر:
      Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 101279357 Publication Model: eCollection Cited Medium: Internet ISSN: 1687-5273 (Electronic) NLM ISO Abbreviation: Comput Intell Neurosci Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: New York, NY : Hindawi Pub. Corp.
    • الموضوع:
      Acupuncture Therapy* ; Magnetic Resonance Imaging*/methods; Activities of Daily Living ; Algorithms ; Cerebral Infarction/diagnostic imaging ; Cerebral Infarction/therapy ; Convalescence ; Drugs, Chinese Herbal ; Humans
    • نبذة مختصرة :
      This study aimed to explore the application value of multifeature fusion classification algorithm based on deep learning and Yishen Tiaodu acupuncture in the diagnosis and treatment of patients with cerebral infarction in convalescence. Methods . 62 patients with cerebral infarction were randomly classified into the experimental group and the control group, with 31 patients in each group. All patients received the functional magnetic resonance imaging (fMRI) examination. The image processing method was the multifeature fusion classification algorithm based on deep learning. DICE coefficient, accuracy, and sensitivity were used to evaluate the image processing performance of traditional and new algorithms. Patients in the experimental group were treated with Yishen Tiaodu acupuncture, while patients in the control group were treated with ordinary acupuncture. The evaluation of the cyberchondria severity scale (CSS) and the activities of daily living (ADL) was performed at enrollment, 15 days after treatment, 28 days after treatment, and 1 month after treatment. The results showed that the quality of fMRI images processed by multifeature fusion classification algorithm based on deep learning was signally improved. The clinical efficacy of the traditional Chinese medicine (TCM) syndrome score (86.7% vs. 60.9%) and neurological impairment score (83.4% vs. 53.5%) in the experimental group were remarkably higher compared with the control group ( P < 0.05). After treatment, the TCM syndrome score of the experimental group was markedly lower than that of the control group, while the ADL score was higher ( P < 0.05). Conclusion . The performance of multifeature fusion classification algorithm based on deep learning in fMRI image processing of patients with cerebral infarction is better than that of traditional algorithms. Yishen Tiaodu acupuncture has a good therapeutic effect on the recovery of motor and neurological function in patients with cerebral infarction at convalescence.
      Competing Interests: The authors declare that they have no conflicts of interest.
      (Copyright © 2022 Zhuo Feng et al.)
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    • الرقم المعرف:
      0 (Drugs, Chinese Herbal)
      0 (yishen)
    • الموضوع:
      Date Created: 20220606 Date Completed: 20220608 Latest Revision: 20220716
    • الموضوع:
      20221213
    • الرقم المعرف:
      PMC9159848
    • الرقم المعرف:
      10.1155/2022/3592145
    • الرقم المعرف:
      35665277