Machine learning-based mortality prediction for pediatric fulminant myocarditis using cytokine profiles
S
Sihuan Jing
T
Takanori Suzuki
(Department of Chemistry, Faculty of Science, Hokkaido University, N10 W8, North-ward, Sapporo 060-0810, Japan)
K
Kenta T. Suzuki
Y
Yoji Nomura
K
Katsuyuki Kunida
Y
Yuichi Sakumura
H
Hidetoshi Uchida
K
Kazuyoshi Saito
R
Ryoichi Ito
M
Machiko Kito
S
Satoru Kawai
A
Alejandro A. Floh
A
Aamir Jeewa
(Division of Cardiology, Hospital for Sick Children, University of Toronto, Toronto)
J
Junichiro Yoshimoto
T
Tetsushi Yoshikawa
K
Kazushi Yasuda
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 16, Issue 1
Published
April 24, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (16)
S
Sihuan Jing
T
Takanori Suzuki
Department of Chemistry, Faculty of Science, Hokkaido University, N10 W8, North-ward, Sapporo 060-0810, Japan
K
Kenta T. Suzuki
Y
Yoji Nomura
K
Katsuyuki Kunida
Y
Yuichi Sakumura
H
Hidetoshi Uchida
K
Kazuyoshi Saito
R
Ryoichi Ito
M
Machiko Kito
S
Satoru Kawai
A
Alejandro A. Floh
A
Aamir Jeewa
Division of Cardiology, Hospital for Sick Children, University of Toronto, Toronto
J
Junichiro Yoshimoto
T
Tetsushi Yoshikawa
K
Kazushi Yasuda
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