An interpretable machine learning approach to prognosis of melioidosis pneumonia via computed tomography quantification and clinical data
Y
Yehua Wu
Y
Yuefu Zhan
D
Dehuai He
S
Shixuan Zhao
Y
Yang Chen
H
Hua Yang
(State Key Laboratory of Natural Medicines, School of Pharmacy, China Pharmaceutical University, 24 Tong Jia Xiang, Nanjing 210009, China)
H
Hong Lu
(Key Laboratory of Synthetic and Natural Functional Molecule of the Ministry of Education, College of Chemistry & Materials Science)
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 15, Issue 1
Published
November 27, 2025
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (7)
Y
Yehua Wu
Y
Yuefu Zhan
D
Dehuai He
S
Shixuan Zhao
Y
Yang Chen
H
Hua Yang
State Key Laboratory of Natural Medicines, School of Pharmacy, China Pharmaceutical University, 24 Tong Jia Xiang, Nanjing 210009, China
H
Hong Lu
Key Laboratory of Synthetic and Natural Functional Molecule of the Ministry of Education, College of Chemistry & Materials Science
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