@article{ART003104503},
author={Jeongkyun Kim and Ilkoo Ahn and Siwoo Lee},
title={Sasang Constitution Detection Based on Facial Feature Analysis Using Explainable Artificial Intelligence},
journal={Journal of Sasang Constitution and Immune Medicine},
issn={1226-4075},
year={2024},
volume={36},
number={2},
pages={39-48}
TY - JOUR
AU - Jeongkyun Kim
AU - Ilkoo Ahn
AU - Siwoo Lee
TI - Sasang Constitution Detection Based on Facial Feature Analysis Using Explainable Artificial Intelligence
JO - Journal of Sasang Constitution and Immune Medicine
PY - 2024
VL - 36
IS - 2
PB - The Society of Sasang Constitution and Immune Medicine
SP - 39
EP - 48
SN - 1226-4075
AB - Objectives The aim was to develop a method for detecting Sasang constitution based on the ratio of facial landmarks and provide an objective and reliable tool for Sasang constitution classification.
Methods Facial images, KS-15 scores, and certainty scores were collected from subjects identified by Korean Medicine Data Center. Facial ratio landmarks were detected, yielding 2279 facial ratio features. Tree-based models were trained to classify Sasang constitution, and Shapley Additive Explanations (SHAP) analysis was employed to identify important facial features. Additionally, Body Mass Index (BMI) and personality questionnaire were incorporated as supplementary information to enhance model performance.
Results Using the Tree-based models, the accuracy for classifying Taeeum, Soeum, and Soyang constitutions was 81.90%, 90.49%, and 81.90% respectively. SHAP analysis revealed important facial features, while the inclusion of BMI and personality questionnaire improved model performance. This demonstrates that facial ratio-based Sasang constitution analysis yields effective and accurate classification results.
Conclusions Facial ratio-based Sasang constitution analysis provides rapid and objective results compared to traditional methods. This approach holds promise for enhancing personalized medicine in Korean traditional medicine.
KW - Sasang Constitution;Facial Images;Explainable Artificial Intelligence;Machine Learning
DO -
UR -
ER -
Jeongkyun Kim, Ilkoo Ahn and Siwoo Lee. (2024). Sasang Constitution Detection Based on Facial Feature Analysis Using Explainable Artificial Intelligence. Journal of Sasang Constitution and Immune Medicine, 36(2), 39-48.
Jeongkyun Kim, Ilkoo Ahn and Siwoo Lee. 2024, "Sasang Constitution Detection Based on Facial Feature Analysis Using Explainable Artificial Intelligence", Journal of Sasang Constitution and Immune Medicine, vol.36, no.2 pp.39-48.
Jeongkyun Kim, Ilkoo Ahn, Siwoo Lee "Sasang Constitution Detection Based on Facial Feature Analysis Using Explainable Artificial Intelligence" Journal of Sasang Constitution and Immune Medicine 36.2 pp.39-48 (2024) : 39.
Jeongkyun Kim, Ilkoo Ahn, Siwoo Lee. Sasang Constitution Detection Based on Facial Feature Analysis Using Explainable Artificial Intelligence. 2024; 36(2), 39-48.
Jeongkyun Kim, Ilkoo Ahn and Siwoo Lee. "Sasang Constitution Detection Based on Facial Feature Analysis Using Explainable Artificial Intelligence" Journal of Sasang Constitution and Immune Medicine 36, no.2 (2024) : 39-48.
Jeongkyun Kim; Ilkoo Ahn; Siwoo Lee. Sasang Constitution Detection Based on Facial Feature Analysis Using Explainable Artificial Intelligence. Journal of Sasang Constitution and Immune Medicine, 36(2), 39-48.
Jeongkyun Kim; Ilkoo Ahn; Siwoo Lee. Sasang Constitution Detection Based on Facial Feature Analysis Using Explainable Artificial Intelligence. Journal of Sasang Constitution and Immune Medicine. 2024; 36(2) 39-48.
Jeongkyun Kim, Ilkoo Ahn, Siwoo Lee. Sasang Constitution Detection Based on Facial Feature Analysis Using Explainable Artificial Intelligence. 2024; 36(2), 39-48.
Jeongkyun Kim, Ilkoo Ahn and Siwoo Lee. "Sasang Constitution Detection Based on Facial Feature Analysis Using Explainable Artificial Intelligence" Journal of Sasang Constitution and Immune Medicine 36, no.2 (2024) : 39-48.
