Selecting Effective Herbal Medicines for Attention-DeficitHyperactivity Disorder via Text Mining of Donguibogam
Joint Authors
Choi, Byung Tae
Baek, Jin Ung
Bae, Hyo Won
Lee, Se Yeon
Kim, Sung Ji
Shin, Hwa Kyoung
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-04
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Bae, Hyo Won& Lee, Se Yeon& Kim, Sung Ji& Shin, Hwa Kyoung& Choi, Byung Tae& Baek, Jin Ung. 2019. Selecting Effective Herbal Medicines for Attention-DeficitHyperactivity Disorder via Text Mining of Donguibogam. Evidence-Based Complementary and Alternative Medicine،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1148702
Modern Language Association (MLA)
Bae, Hyo Won…[et al.]. Selecting Effective Herbal Medicines for Attention-DeficitHyperactivity Disorder via Text Mining of Donguibogam. Evidence-Based Complementary and Alternative Medicine No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1148702
American Medical Association (AMA)
Bae, Hyo Won& Lee, Se Yeon& Kim, Sung Ji& Shin, Hwa Kyoung& Choi, Byung Tae& Baek, Jin Ung. Selecting Effective Herbal Medicines for Attention-DeficitHyperactivity Disorder via Text Mining of Donguibogam. Evidence-Based Complementary and Alternative Medicine. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1148702
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1148702