Machine learning model for predicting the cold–heat pattern in Kampo medicine: a multicenter prospective observational study
We developed a prediction model on cold-heat patterns with data from patients whose subjective cold/heat-related symptoms matched the cold-heat pattern diagnosis by the physician.
Authors
- Yutaka Shimada (ORCID: https://orcid.org/0000-0002-2836-0492)
- Kiyoshi Minamizawa
- Yuko Horiba
- Shin‐ichi Muramatsu (ORCID: https://orcid.org/0000-0002-3185-7790)
- Takao Namiki (ORCID: https://orcid.org/0000-0003-1047-7999)
- Tatsuya Nogami (ORCID: https://orcid.org/0000-0002-9724-4356)
- Hiroaki HIKIAMI
- Kotoe Katayama (ORCID: https://orcid.org/0000-0002-3966-1231)
- Hideki Mima
- Tetsuhiro Yoshino (ORCID: https://orcid.org/0000-0001-6172-1926)
- Rui Yamaguchi (ORCID: https://orcid.org/0000-0003-1224-227X)
- Ayako Maeda‐Minami (ORCID: https://orcid.org/0000-0003-1361-4514)
- Kazushi Uneda (ORCID: https://orcid.org/0000-0002-9660-142X)
- Satoru Miyano (ORCID: https://orcid.org/0000-0002-1753-6616)
- Seiya Imoto (ORCID: https://orcid.org/0000-0002-2989-308X)
- Kenji Watanabe (ORCID: https://orcid.org/0000-0002-5823-6441)
- Eiichi Tahara
- Koichi Fukunaga
Institutions
- Tokyo Medical and Dental University (JP)
- Fukushima Medical University (JP)
- Tokai University (JP)
- Kyushu University (JP)
- Jichi Medical University (JP)
- Chiba University (JP)
- Tokyo University of Science (JP)
- Keio University (JP)
- Kameda Medical Center (JP)
- Aichi Cancer Center (JP)
- University of Toyama (JP)
- The University of Tokyo (JP)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2024-10-25
- DOI
- https://doi.org/10.3389/fphar.2024.1412593
- Citations
- 1
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.72
Funders
- Japan Agency for Medical Research and Development
- Ministry of Health, Labour and Welfare