Sign inSubmit
computersciencejournal.org is not ours. This journal is published only at thescipub.com/jcs. Report a suspicious emailcomputersciencejournal.org is not ours · Report
ArticleMetrics
Research Article · Open access · Published 24 June 2017

A Framework for Systematizing Personalized Thai Herbal Medicine: A Case Study Covering Gynecological Conditions

Charinee Prompukdee1, Jaratsri Rungrattanaubol1 & Chayanin Pratoomsoot1

Journal of Computer Science, Volume 13, Issue 6, pp. 175–183 · doi.org/10.3844/jcssp.2017.175.183

7,551 accesses5,124 downloads0 citations (Crossref)Metrics
Cite Check for updates

Abstract

Thai Traditional Medicine (TTM) is an integral part of Thai traditional culture, with a history which spans many centuries. As part of this tradition, a significant number of historical pharmacopoeias and herbal textbooks have been preserved but much of the content of these texts is hard to access and interpret and so this paper proposes a framework for applying  knowledge management processes to TTM. The outcome of this is the design and development of a system for making personalized prescriptions of Thai herbal medicines. By extracting and capturing knowledge from the TTM text 'Pra Kampee Maha-Chotarat' (an ancient text on the subject of gynecological conditions) and through consulting with TTM experts, a system was developed to support TTM consultants when making individual prescriptions for traditional medicines. The association rule mining technique was used to obtain recommended herbal compositions and the system was evaluated by experts, who gave feedback on the design, content and usage of the system. The proposed framework and system has the potential to be extended to cover the treatment of other diseases by drawing data from other TTM texts.

Licence and reuse

Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

How to reuse this article

Responses (0)

Have a comment on this research? Sign in to respond. Responses are moderated and published with your name and affiliation; the authors are invited to reply. How we use your dataWrite a response

About this article

Cite this article

Prompukdee, C., Rungrattanaubol, J. & Pratoomsoot, C. (2017). A Framework for Systematizing Personalized Thai Herbal Medicine: A Case Study Covering Gynecological Conditions. Journal of Computer Science, 13(6), 175–183. https://doi.org/10.3844/jcssp.2017.175.183

Licence
CC BY 3.0
Issue
Volume 13, Issue 6
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
A Framework for Systematizing Personalized Thai Herbal Medicine: A Case Study Covering Gynecological ConditionsJournal of Computer Science · Volume 13, Issue 6 · pp. 175–183 · CC BY 3.0Download