Prediction of fatal adverse prognosis in patients with fever-related diseases based on machine learning: A retrospective study

BACKGROUND: Fever is the most common chief complaint of emergency patients. Early identification of patients at an increasing risk of death may avert adverse outcomes. The aim of this study was to establish an early prediction model of fatal adverse prognosis of fever patients by extracting key indi...

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Detalles Bibliográficos
Autores principales: Zhao, Chun-Hong, Wu, Hui-Tao, Che, He-Bin, Song, Ya-Nan, Zhao, Yu-Zhuo, Li, Kai-Yuan, Xiao, Hong-Ju, Zhai, Yong-Zhi, Liu, Xin, Lu, Hong-Xi, Li, Tan-Shi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065855/
https://www.ncbi.nlm.nih.gov/pubmed/32044816
http://dx.doi.org/10.1097/CM9.0000000000000675

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065855/
https://www.ncbi.nlm.nih.gov/pubmed/32044816
http://dx.doi.org/10.1097/CM9.0000000000000675

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