Machine learning model for predicting the cold-heat pattern in Kampo medicine: a multicenter prospective observational study

• Main Authors: Ayako Maeda-Minami (Author), Tetsuhiro Yoshino (Author), Kotoe Katayama (Author), Yuko Horiba (Author), Hiroaki Hikiami (Author), Yutaka Shimada (Author), Takao Namiki (Author), Eiichi Tahara (Author), Kiyoshi Minamizawa (Author), Shin-Ichi Muramatsu (Author), Rui Yamaguchi (Author), Seiya Imoto (Author), Satoru Miyano (Author), Hideki Mima (Author), Kazushi Uneda (Author), Tatsuya Nogami (Author), Koichi Fukunaga (Author), Kenji Watanabe (Author)
• Format: Book
• Published: Frontiers Media S.A., 2024-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

ObjectiveThe purpose of this study was to predict the four cold-heat patterns in patients who have the subjective symptoms of the cold-heat pattern described in the International Classification of Diseases Traditional Medicine Conditions - Module 1 by applying a machine learning algorithm.MethodsSub...