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通过对《东医宝鉴》的文本挖掘筛选治疗注意力缺陷多动障碍的有效草药

Selecting Effective Herbal Medicines for Attention-Deficit/Hyperactivity Disorder via Text Mining of Donguibogam.

作者信息

Bae Hyo Won, Lee Se Yeon, Kim Sung Ji, Shin Hwa Kyoung, Choi Byung Tae, Baek Jin Ung

机构信息

Division of Humanities and Social Medicine, School of Korean Medicine, Pusan National University, Yangsan 626-870, Republic of Korea.

Division of Meridian and Structural Medicine, School of Korean Medicine, Pusan National University, Yangsan 626-870, Republic of Korea.

出版信息

Evid Based Complement Alternat Med. 2019 Jun 4;2019:1798364. doi: 10.1155/2019/1798364. eCollection 2019.

DOI:10.1155/2019/1798364
PMID:31275404
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6582907/
Abstract

OBJECTIVE

Several attempts have been made to reduce the harmful side effects and increase the efficacy of current drugs used to treat attention-deficit/hyperactivity disorder (ADHD). Many articles have studied medicinal herbs as an effective supplement in treating ADHD. In a similar manner, this study provides foundational data to identify herbs that are potentially effective in treating ADHD by text mining of Donguibogam, which is a comprehensive summation of the important traditional principles and practices of Korean medicine.

METHODS

Text mining was performed for 3833 herbal prescriptions and 1108 medicinal herbs comprising prescriptions listed in Donguibogam. The first step was frequency analysis followed by chi-square test, which is a statistical hypothesis test.

RESULTS AND CONCLUSIONS

Twelve medicinal herbs were selected for each ADHD subtype: hyperactivity ADHD type (ADHD-PHI) and attention-deficit ADHD type (ADHD-PI). Compared to previous research on traditional literature, a newer and more efficient methodology of selecting herbal medicines was developed in this process.

摘要

目的

人们已多次尝试减少用于治疗注意力缺陷多动障碍（ADHD）的现有药物的有害副作用并提高其疗效。许多文章研究了草药作为治疗ADHD的有效补充剂。同样，本研究通过对《东医宝鉴》进行文本挖掘，提供基础数据以识别可能有效治疗ADHD的草药，《东医宝鉴》是韩国医学重要传统理论和实践的综合总结。

方法

对《东医宝鉴》中列出的3833个草药方剂和1108种组成方剂的草药进行文本挖掘。第一步是频率分析，然后是卡方检验，这是一种统计假设检验。

结果与结论

为每种ADHD亚型（多动型ADHD（ADHD-PHI）和注意力缺陷型ADHD（ADHD-PI））选择了12种草药。与之前对传统文献的研究相比，在此过程中开发了一种更新、更有效的选择草药的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/6582907/b178787f99c8/ECAM2019-1798364.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/6582907/e11c225e85a2/ECAM2019-1798364.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/6582907/68e40bfc9ee6/ECAM2019-1798364.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/6582907/6dbc69274a78/ECAM2019-1798364.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/6582907/44a0b379a875/ECAM2019-1798364.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/6582907/b178787f99c8/ECAM2019-1798364.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/6582907/e11c225e85a2/ECAM2019-1798364.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/6582907/68e40bfc9ee6/ECAM2019-1798364.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/6582907/6dbc69274a78/ECAM2019-1798364.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/6582907/44a0b379a875/ECAM2019-1798364.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/6582907/b178787f99c8/ECAM2019-1798364.005.jpg

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Twenty-Year Trends in Diagnosed Attention-Deficit/Hyperactivity Disorder Among US Children and Adolescents, 1997-2016.20 年来美国儿童和青少年被诊断为注意缺陷多动障碍的趋势，1997-2016 年。
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