通过神经网络分析潜意识认知结合催眠疗法对焦虑症的治疗效果。

IF 6.5 3区 工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Biotechnology & Genetic Engineering Reviews Pub Date : 2024-12-01 Epub Date: 2023-04-27 DOI:10.1080/02648725.2023.2204604
Hanyue Zhang, Xuejiao Yuan, Norhasmah Binti Mohd Zain, Ying Gao
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引用次数: 0

摘要

催眠疗法结合认知疗法是干预焦虑问题的有效方法,这也响应了用催眠疗法治疗躯体疾病应成为未来趋势的号召。本文构建了认知催眠疗法对焦虑症患者干预效果的评价指标,并利用神经网络对其效果进行了评价。最后,我们完成了以下工作:1)本文在对国内外焦虑症和催眠治疗的相关文献进行检索和梳理后,构建了与本课题相关的理论基础。2)本文构建了认知催眠治疗对焦虑症患者干预效果的评价指标体系,并介绍了DBN模型的基本原理和结构。3) 通过实验确定 DBN 模型参数的最佳值。为此,您需要将实验数据输入训练好的模型,并将专家的评估结果与模型的预测结果进行比较。本研究的实验结果表明,本作品中提出的 DBN 模型在评估认知组合催眠疗法对焦虑症的疗效方面具有极高的准确性。
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Analysis of therapeutic effect of subliminal cognition combined with hypnotherapy on anxiety disorder via neural network.

Hypnotherapy combined with cognitive therapy is an effective way to intervene anxiety problems, which also responds to the call that using hypnotherapy to treat somatic disorders should become a trend in the future. This paper constructs an evaluation index of the intervention effect of cognitive hypnotherapy on anxiety patients, and then uses neural network to evaluate its effect. At last, we have completed the following work: 1) This paper constructs the theoretical basis related to this topic after searching and sorting out the related literature on anxiety disorders and hypnotherapy at home and abroad. 2) This paper constructs the evaluation index system of the intervention effect of cognitive hypnotherapy on anxiety patients, and then introduces the basic principle and structure of DBN model. 3) Experiments are used to determine the best values for the DBN model's parameters. To accomplish this, you will need to input the experimental data into the trained model and compare the evaluation results from experts with the model's predictions. The experimental findings of this study demonstrate the great accuracy of the DBN model presented in this work for assessing the effectiveness of cognitive combination hypnotherapy for anxiety disorders.

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来源期刊
Biotechnology & Genetic Engineering Reviews
Biotechnology & Genetic Engineering Reviews BIOTECHNOLOGY & APPLIED MICROBIOLOGY-GENETICS & HEREDITY
CiteScore
6.50
自引率
3.10%
发文量
33
期刊介绍: Biotechnology & Genetic Engineering Reviews publishes major invited review articles covering important developments in industrial, agricultural and medical applications of biotechnology.
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