Machine learning-based prediction of Sasang constitution types using comprehensive clinical information and identification of key features for diagnosis

Machine learning-based prediction of Sasang constitution types using comprehensive clinical information and identification of key features for diagnosis

Background: Despite the importance of accurate Sasang type diagnosis, a unique form of Korean medicine, there have been concerns about consistency among diagnoses. We investigate a data-driven integrative diagnostic model by applying machine learning to a multicenter clinical dataset with comprehens...

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Bibliographic Details
Main Authors: Sa-Yoon Park, Musun Park, Won-Yung Lee, Choong-Yeol Lee, Ji-Hwan Kim, Siwoo Lee, Chang-Eop Kim
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Integrative Medicine Research
Subjects:
Sasang constitutional medicine
Machine learning
Extremely randomized trees
Diagnostic model
Feature importance
Online Access:http://www.sciencedirect.com/science/article/pii/S2213422020303048

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http://www.sciencedirect.com/science/article/pii/S2213422020303048

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