Machine Learning for Early Warning of Septic Shock in Children With Hematological Malignancies Accompanied by Fever or Neutropenia: A Single Center Retrospective Study

OBJECTIVES: The purpose of this article was to establish and validate clinically applicable septic shock early warning model (SSEW model) that can identify septic shock in hospitalized children with onco-hematological malignancies accompanied with fever or neutropenia. METHODS: Data from EMRs were c...

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Detalles Bibliográficos
Autores principales: Xiang, Long, Wang, Hansong, Fan, Shujun, Zhang, Wenlan, Lu, Hua, Dong, Bin, Liu, Shijian, Chen, Yiwei, Wang, Ying, Zhao, Liebin, Fu, Lijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240637/
https://www.ncbi.nlm.nih.gov/pubmed/34211848
http://dx.doi.org/10.3389/fonc.2021.678743

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240637/
https://www.ncbi.nlm.nih.gov/pubmed/34211848
http://dx.doi.org/10.3389/fonc.2021.678743

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