Predicting high-need high-cost pediatric hospitalized patients in China based on machine learning methods

Peng Zhang; Bifan Zhu; Xing Chen; Linan Wang

doi:10.1038/s41598-025-99546-z

Predicting high-need high-cost pediatric hospitalized patients in China based on machine learning methods

P Peng Zhang B Bifan Zhu X Xing Chen (Institute of Molecular Plus, Department of Chemistry, Tianjin University and Haihe Laboratory of Sustainable Chemical Transformations, 92 Weijin Road, Tianjin 300072, China) L Linan Wang

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published May 08, 2025

DOI 10.1038/s41598-025-99546-z

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (4)

P

Peng Zhang

B

Bifan Zhu

X

Xing Chen

Institute of Molecular Plus, Department of Chemistry, Tianjin University and Haihe Laboratory of Sustainable Chemical Transformations, 92 Weijin Road, Tianjin 300072, China

L

Linan Wang

Predicting high-need high-cost pediatric hospitalized patients in China based on machine learning methods

Article Details

Journal Info

Authors (4)

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