Design of a Diagnostic Support Method Utilizing Interrogation Information in Traditional Chinese Medicine

Ryo Nakagawa, Yuka Komuro, Yui Takahashi, Takashi Seki, Yoshiaki Rikitake, Akiko Takahashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traditional Chinese medicine (TCM) features diagnosis of a “pattern” that reflects the mental and physical condition of the patient and suggests an appropriate treatment. However, diagnosis requires enormous knowledge and experience, and it can be difficult to determine an appropriate treatment method regardless of clinical experience. TCM doctors need a framework for sharing knowledge and diagnostic methods and supporting treatment determinations. Here a diagnostic support method is proposed that extracts relevant patterns using the TCM database that stores the patient’s interrogation information as well as knowledge about TCM. The method classifies patterns based on the relationships among them and provides the pattern extraction to the doctor as a model diagram.

Original languageEnglish
Title of host publicationAdvanced Information Networking and Applications - Proceedings of the 35th International Conference on Advanced Information Networking and Applications AINA 2021
EditorsLeonard Barolli, Isaac Woungang, Tomoya Enokido
PublisherSpringer Science and Business Media Deutschland GmbH
Pages177-187
Number of pages11
ISBN (Print)9783030750770
DOIs
Publication statusPublished - 2021
Event35th International Conference on Advanced Information Networking and Applications, AINA 2021 - Toronto [state] ON, Canada
Duration: 2021 May 122021 May 14

Publication series

NameLecture Notes in Networks and Systems
Volume227
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference35th International Conference on Advanced Information Networking and Applications, AINA 2021
Country/TerritoryCanada
CityToronto [state] ON
Period21/5/1221/5/14

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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