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

Volume / Issue Vol. 16, Issue 1
Published April 24, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

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