@article{ART002492681},
author={Kim SeongHo and Kim SungWon and Kim, Ki Wook and Lee Byung Wook},
title={Analysis of 『Jinguiyaolue』 Prescriptions using Database},
journal={The Journal Of Korean Medical Classics},
issn={1229-8328},
year={2019},
volume={32},
number={3},
pages={131-146},
doi={10.14369/jkmc.2019.32.3.131}
TY - JOUR
AU - Kim SeongHo
AU - Kim SungWon
AU - Kim, Ki Wook
AU - Lee Byung Wook
TI - Analysis of 『Jinguiyaolue』 Prescriptions using Database
JO - The Journal Of Korean Medical Classics
PY - 2019
VL - 32
IS - 3
PB - 대한한의학원전학회
SP - 131
EP - 146
SN - 1229-8328
AB - Objectives : The aim of this paper is to study the methodology for effectively analyzing the 『 Jinguiyaolue』 prescriptions using database, and to explore possibilities of applying the data construction and query produced in the process to comparative research with other texts in the future.
Methods : Using 『Xinbianzhongjingquanshu(新編仲景全書)』 as original script, the contents of 『 Jinguiyaolue』 were entered into the database, in which one verse would be separated according to content for individual usage. Also, data with medicinal construction and disease pattern information of the previously constructed 『Shanghanlun』 database designed for comparison with other texts was applied for comparative analysis.
Results : For input and analysis, 6 tables and 12 queries were made and used. Formulas were accessible by using herbal combinations, and applications of these formulas could be assembled for comparison. Formulas were also accessible by using disease pattern combinations, and combinations of herbs and disease pattern together were also applicable.
In comparison with other texts, examples and frequency of usage of herbs could be relatively accurately compared, while disease patterns could not easily be compared.
Conclusions : Herbal combinations, disease pattern combinations could yield related texts and herb/disease pattern combinations of the prescriptions in the 『Jinguiyaolue』, which shortened time needed for research among formulas in texts. However, standardization research for disease pattern is necessary for a more accurate comparative study that includes disease pattern information.
KW - Jinguiyaolue;Database;Prescription searching;herb;symptom
DO - 10.14369/jkmc.2019.32.3.131
ER -
Kim SeongHo, Kim SungWon, Kim, Ki Wook and Lee Byung Wook. (2019). Analysis of 『Jinguiyaolue』 Prescriptions using Database. The Journal Of Korean Medical Classics, 32(3), 131-146.
Kim SeongHo, Kim SungWon, Kim, Ki Wook and Lee Byung Wook. 2019, "Analysis of 『Jinguiyaolue』 Prescriptions using Database", The Journal Of Korean Medical Classics, vol.32, no.3 pp.131-146. Available from: doi:10.14369/jkmc.2019.32.3.131
Kim SeongHo, Kim SungWon, Kim, Ki Wook, Lee Byung Wook "Analysis of 『Jinguiyaolue』 Prescriptions using Database" The Journal Of Korean Medical Classics 32.3 pp.131-146 (2019) : 131.
Kim SeongHo, Kim SungWon, Kim, Ki Wook, Lee Byung Wook. Analysis of 『Jinguiyaolue』 Prescriptions using Database. 2019; 32(3), 131-146. Available from: doi:10.14369/jkmc.2019.32.3.131
Kim SeongHo, Kim SungWon, Kim, Ki Wook and Lee Byung Wook. "Analysis of 『Jinguiyaolue』 Prescriptions using Database" The Journal Of Korean Medical Classics 32, no.3 (2019) : 131-146.doi: 10.14369/jkmc.2019.32.3.131
Kim SeongHo; Kim SungWon; Kim, Ki Wook; Lee Byung Wook. Analysis of 『Jinguiyaolue』 Prescriptions using Database. The Journal Of Korean Medical Classics, 32(3), 131-146. doi: 10.14369/jkmc.2019.32.3.131
Kim SeongHo; Kim SungWon; Kim, Ki Wook; Lee Byung Wook. Analysis of 『Jinguiyaolue』 Prescriptions using Database. The Journal Of Korean Medical Classics. 2019; 32(3) 131-146. doi: 10.14369/jkmc.2019.32.3.131
Kim SeongHo, Kim SungWon, Kim, Ki Wook, Lee Byung Wook. Analysis of 『Jinguiyaolue』 Prescriptions using Database. 2019; 32(3), 131-146. Available from: doi:10.14369/jkmc.2019.32.3.131
Kim SeongHo, Kim SungWon, Kim, Ki Wook and Lee Byung Wook. "Analysis of 『Jinguiyaolue』 Prescriptions using Database" The Journal Of Korean Medical Classics 32, no.3 (2019) : 131-146.doi: 10.14369/jkmc.2019.32.3.131
