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

Authors

S. Miyano
Kiyoshi Minamizawa
Yuko Horiba
Tatsuya Nogami (ORCID: https://orcid.org/0000-0002-9724-4356)
Yutaka Shimada (ORCID: https://orcid.org/0000-0002-9661-7317)
Muramatsu Shin-ichi
Hideki Mima
Rui Yamaguchi (ORCID: https://orcid.org/0000-0003-1224-227X)
Kazushi Uneda (ORCID: https://orcid.org/0000-0002-9660-142X)
Eiichi TAHARA
Tetsuhiro Yoshino
Ayako Maeda-Minami
Seiya Imoto
Hiroaki Hikiami
Kenji Watanabe
Koichi Fukunaga
Takao Namiki

Institutions

Human Genome Sciences (United States) (US)
Tokyo Medical and Dental University (JP)
Fukushima Medical University (JP)
Tokai 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)
Institute for the Future (US)
Jichi Medical University Hospital (JP)
University of Toyama (JP)

Publication Details

Journal: Frontiers in Pharmacology
Published: 2026-01-29
DOI: https://doi.org/10.3389/fphar.2026.1789439
Primary Topic: Traditional Chinese Medicine Studies
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Keio University

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article

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

S. Miyano, Kiyoshi Minamizawa, Yuko Horiba, Tatsuya Nogami et al.

Jan 29, 2026

Frontiers in Pharmacology

Traditional Chinese Medicine Studies

article

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

S. Miyano, Kiyoshi Minamizawa, Yuko Horiba, Tatsuya Nogami, Yutaka Shimada, Muramatsu Shin-ichi, Hideki Mima, Rui Yamaguchi, Kazushi Uneda, Eiichi TAHARA, Tetsuhiro Yoshino, Ayako Maeda-Minami, Seiya Imoto, Hiroaki Hikiami, Kenji Watanabe, Koichi Fukunaga, Takao Namiki

January 29, 2026article en

Abstract

No abstract available for this paper.

Frontiers in PharmacologyVol. 17

Human Genome Sciences (United States) (US), Tokyo Medical and Dental University (JP), Fukushima Medical University (JP), Tokai 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), Institute for the Future (US), Jichi Medical University Hospital (JP), University of Toyama (JP)

Keio University

Openalex Percentile: Top 73%

Traditional Chinese Medicine Studies

DOI Open Access PDF OpenAlex

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Correction: Machine learning model for predicting the cold–heat pattern in Kampo medicine: a multicenter prospective observational study — S. Miyano, Kiyoshi Minamizawa, et al. · Frontiers in Pharmacology (2026) | TGRS Research Map | TGRS