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

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 comprehensive features...

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Veröffentlicht in:	Integrative medicine research 2021, 10(3), 36, pp.1-8
Hauptverfasser:	Park, Sa-Yoon, Park, Musun, Lee, Won-Yung, Lee, Choong-Yeol, Kim, Ji-Hwan, Lee, Siwoo, Kim, Chang-Eop
Format:	Artikel
Sprache:	eng
Schlagworte:	Diagnostic model Extremely randomized trees Feature importance Integrative & Complementary Medicine Life Sciences & Biomedicine Machine learning Original Sasang constitutional medicine Science & Technology 학제간연구
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