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

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

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. Data from EMRs were collected from hospita...

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Veröffentlicht in:Frontiers in oncology 2021-06, Vol.11, p.678743
Hauptverfasser: Xiang, Long, Wang, Hansong, Fan, Shujun, Zhang, Wenlan, Lu, Hua, Dong, Bin, Liu, Shijian, Chen, Yiwei, Wang, Ying, Zhao, Liebin, Fu, Lijun
Format: Artikel
Sprache:eng
Schlagworte:
fever
hematological or oncological disease
machine learning
neutropenia
Oncology
predictive modeling
septic shock
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Zusammenfassung: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. Data from EMRs were collected from hospitalized pediatric patients with hematological and oncological disease at Shanghai Children's Medical Center. Medical records of patients (>30 days and
ISSN:2234-943X
2234-943X
DOI:10.3389/fonc.2021.678743