Machine Learning Applications for the Development of a Questionnaire to Identify Sasang Constitution Typology

Sasang constitutional medicine emphasizes personalized disease prevention and treatment and has been used in various fields. Nevertheless, more efforts are required to improve the validity and reliability of the Sasang analysis tools. Hence, this study aimed to (1) identify key constructs and measur...

Full description

Saved in:
Bibliographic Details
Published in:International journal of environmental research and public health 2022-09, Vol.19 (18), p.11820
Main Authors: Kim, Soon Mi, Ryu, Jeongkun, Park, Eunhye Olivia
Format: Article
Language:English
Subjects:
Chinese medicine
Clustering
Constitutional law
Data analysis
Disease prevention
Eating behavior
Health care
Identification
Learning algorithms
Machine Learning
Medicine
Medicine, Korean Traditional
Personality
Personality traits
Physiology
Polls & surveys
Preventive medicine
Questionnaires
Reliability analysis
Reproducibility of Results
Surveys and Questionnaires
Typology
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Sasang constitutional medicine emphasizes personalized disease prevention and treatment and has been used in various fields. Nevertheless, more efforts are required to improve the validity and reliability of the Sasang analysis tools. Hence, this study aimed to (1) identify key constructs and measurement items of the Sasang constitution questionnaire that characterize different Sasang constitutions and (2) investigate the similarities and differences in pathophysiological and personality traits between Sasang constitutions. The results of the Sasang constitution questionnaire were analyzed using multiple machine learning-based approaches, including feature selection, hierarchical clustering analysis, and multiple correspondence analysis. The selected 47 key measurement items were clustered into six groups based on the similarity measures. The findings of this study are expected to be beneficial for future research on the development of more robust and reliable Sasang conservation questionnaires, allowing Sasang constitutional medicine to be more widely implemented in various sectors.
ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph191811820