@article{ART002404546},
author={Bae Hyo-jin and Chang-EopKim and Lee， Choong-Yeol and Shin Sang-won and KIM JONG HYUN},
title={Investigation of the Possibility of Research on Medical Classics Applying Text Mining - Focusing on the Huangdi’s Internal Classic -},
journal={The Journal Of Korean Medical Classics},
issn={1229-8328},
year={2018},
volume={31},
number={4},
pages={27-46},
doi={10.14369/jkmc.2018.31.4.027}
TY - JOUR
AU - Bae Hyo-jin
AU - Chang-EopKim
AU - Lee， Choong-Yeol
AU - Shin Sang-won
AU - KIM JONG HYUN
TI - Investigation of the Possibility of Research on Medical Classics Applying Text Mining - Focusing on the Huangdi’s Internal Classic -
JO - The Journal Of Korean Medical Classics
PY - 2018
VL - 31
IS - 4
PB - 대한한의학원전학회
SP - 27
EP - 46
SN - 1229-8328
AB - Objectives : In this paper, we investigated the applicability of text mining to Korean Medical Classics and suggest that researchers of Medical Classics utilize this methodology.
Methods : We applied text mining to the Huangdi’s internal classic, a seminal text of Korean Medicine, and visualized networks which represent connectivity of terms and documents based on vector similarity. Then we compared this outcome to the prior knowledge generated through conventional qualitative analysis and examined whether our methodology could accurately reflect the keyword of documents, clusters of terms, and relationships between documents.
Results : In the term network, we confirmed that Qi played a key role in the term network and that the theory development based on relativity between Yin and Yang was reflected. In the document network, Suwen and Lingshu are quite distinct from each other due to their differences in description form and topic. Also, Suwen showed high similarity between adjacent chapters.
Conclusions : This study revealed that text mining method could yield a significant discovery which corresponds to prior knowledge about Huangdi’s internal classic. Text mining can be used in a variety of research fields covering medical classics, literatures, and medical records. In addition, visualization tools can also be utilized for educational purposes.
KW - Text mining;Medical classics(原典);Huangdi’s Internal Classic(黃帝內經);Network analysis
DO - 10.14369/jkmc.2018.31.4.027
ER -
Bae Hyo-jin, Chang-EopKim, Lee， Choong-Yeol, Shin Sang-won and KIM JONG HYUN. (2018). Investigation of the Possibility of Research on Medical Classics Applying Text Mining - Focusing on the Huangdi’s Internal Classic -. The Journal Of Korean Medical Classics, 31(4), 27-46.
Bae Hyo-jin, Chang-EopKim, Lee， Choong-Yeol, Shin Sang-won and KIM JONG HYUN. 2018, "Investigation of the Possibility of Research on Medical Classics Applying Text Mining - Focusing on the Huangdi’s Internal Classic -", The Journal Of Korean Medical Classics, vol.31, no.4 pp.27-46. Available from: doi:10.14369/jkmc.2018.31.4.027
Bae Hyo-jin, Chang-EopKim, Lee， Choong-Yeol, Shin Sang-won, KIM JONG HYUN "Investigation of the Possibility of Research on Medical Classics Applying Text Mining - Focusing on the Huangdi’s Internal Classic -" The Journal Of Korean Medical Classics 31.4 pp.27-46 (2018) : 27.
Bae Hyo-jin, Chang-EopKim, Lee， Choong-Yeol, Shin Sang-won, KIM JONG HYUN. Investigation of the Possibility of Research on Medical Classics Applying Text Mining - Focusing on the Huangdi’s Internal Classic -. 2018; 31(4), 27-46. Available from: doi:10.14369/jkmc.2018.31.4.027
Bae Hyo-jin, Chang-EopKim, Lee， Choong-Yeol, Shin Sang-won and KIM JONG HYUN. "Investigation of the Possibility of Research on Medical Classics Applying Text Mining - Focusing on the Huangdi’s Internal Classic -" The Journal Of Korean Medical Classics 31, no.4 (2018) : 27-46.doi: 10.14369/jkmc.2018.31.4.027
Bae Hyo-jin; Chang-EopKim; Lee， Choong-Yeol; Shin Sang-won; KIM JONG HYUN. Investigation of the Possibility of Research on Medical Classics Applying Text Mining - Focusing on the Huangdi’s Internal Classic -. The Journal Of Korean Medical Classics, 31(4), 27-46. doi: 10.14369/jkmc.2018.31.4.027
Bae Hyo-jin; Chang-EopKim; Lee， Choong-Yeol; Shin Sang-won; KIM JONG HYUN. Investigation of the Possibility of Research on Medical Classics Applying Text Mining - Focusing on the Huangdi’s Internal Classic -. The Journal Of Korean Medical Classics. 2018; 31(4) 27-46. doi: 10.14369/jkmc.2018.31.4.027
Bae Hyo-jin, Chang-EopKim, Lee， Choong-Yeol, Shin Sang-won, KIM JONG HYUN. Investigation of the Possibility of Research on Medical Classics Applying Text Mining - Focusing on the Huangdi’s Internal Classic -. 2018; 31(4), 27-46. Available from: doi:10.14369/jkmc.2018.31.4.027
Bae Hyo-jin, Chang-EopKim, Lee， Choong-Yeol, Shin Sang-won and KIM JONG HYUN. "Investigation of the Possibility of Research on Medical Classics Applying Text Mining - Focusing on the Huangdi’s Internal Classic -" The Journal Of Korean Medical Classics 31, no.4 (2018) : 27-46.doi: 10.14369/jkmc.2018.31.4.027
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