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A Research on Automatic Data Extract Method of Pulse Descriptions Using the List of Pulse Terminology

  • The Journal Of Korean Medical Classics
  • Abbr : JKMC
  • 2020, 33(4), pp.21~32
  • DOI : 10.14369/jkmc.2020.33.4.021
  • Publisher : 대한한의학원전학회
  • Research Area : Medicine and Pharmacy > Korean Medicine
  • Received : October 19, 2020
  • Accepted : November 9, 2020
  • Published : November 25, 2020

YuJeong Keum 1 Lee Byung Wook 2 Eom Dong Myung 3 Song Jichung 1

1대구한의대학교
2동국대학교
3원광대학교

Accredited

ABSTRACT

Objectives : Pulse descriptions in Korean Medical texts are comprised of combinations of pulse terminology, where various combinations of pulse terminology are used to describe disease symptoms. For Korean Medical doctors and professionals, however, it is impossible to identify the entirety of pulse description combinations, and their understanding is mostly limited to those learned from classical texts studied individually. Methods :This research was carried out by using Access of Microsoft Office 365 in Windows 10 of Microsoft. Pulse descriptions were extracted from the text, 『Euijongsonik』. In the final stages, the automatically extracted list of pulse descriptions was refined through [excluded terminology of pulse description]. Results : The PC environment of this research was Intel Core i7-1065G7 CPU 1.30GHz, with 8GB of RAM and a Windows 10 64bit operation system. Out of 6,115 verses 6,497 descriptions were primarily extracted, and after a refinement process, the final list contained 5,507 pulse descriptions. Conclusions : Based on the assumption that classical texts are available in data form to be processed by programs, current research methodology demonstrated that it was more efficient in regards to time and man power to create a pulse description database compared to when the researcher manually created one.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.