Employing a low-code machine learning approach to predict in-hospital mortality and length of stay in patients with community-acquired pneumonia
H
Hao Chen
S
Shurui Zhang
H
Hiromi Matsumoto
N
Nanami Tsuchiya
C
Chihiro Yamada
S
Shunsuke Okasaki
A
Atsushi Miyasaka
K
Kentaro Yumoto
D
Daiki Kanou
F
Fumihiro Kashizaki
H
Harumi Koizumi
K
Kenichi Takahashi
M
Masato Shimizu
N
Nobuyuki Horita
T
Takeshi Kaneko
(Department of Immunology and Cell Biology, Graduate School of Medicine and Frontier Biosciences, The University of Osaka)
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 15, Issue 1
Published
January 02, 2025
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (15)
H
Hao Chen
S
Shurui Zhang
H
Hiromi Matsumoto
N
Nanami Tsuchiya
C
Chihiro Yamada
S
Shunsuke Okasaki
A
Atsushi Miyasaka
K
Kentaro Yumoto
D
Daiki Kanou
F
Fumihiro Kashizaki
H
Harumi Koizumi
K
Kenichi Takahashi
M
Masato Shimizu
N
Nobuyuki Horita
T
Takeshi Kaneko
Department of Immunology and Cell Biology, Graduate School of Medicine and Frontier Biosciences, The University of Osaka
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