Application of a decision tree model in the early identification of severe patients with severe fever with thrombocytopenia syndrome.
<h4>Background</h4>Severe fever with thrombocytopenia syndrome (SFTS) is a serious infectious disease with a fatality of up to 30%. To identify the severity of SFTS precisely and quickly is important in clinical practice.<h4>Methods</h4>From June to July 2020, 71 patients adm...
Enregistré dans:
Auteurs principaux: | Bohao Wang, Zhiquan He, Zhijie Yi, Chun Yuan, Wenshuai Suo, Shujun Pei, Yi Li, Hongxia Ma, Haifeng Wang, Bianli Xu, Wanshen Guo, Xueyong Huang |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Public Library of Science (PLoS)
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/4ee4f2d410b04a95b4aca16bf546e49c |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Epidemiological and etiological characteristics of fever, thrombocytopenia and leukopenia syndrome in Henan Province, China, 2011-2012.
par: Xueyong Huang, et autres
Publié: (2014) -
Vectors, Hosts, and the Possible Risk Factors Associated with Severe Fever with Thrombocytopenia Syndrome
par: Jin-Na Wang, et autres
Publié: (2021) -
The changing epidemiological characteristics of severe fever with thrombocytopenia syndrome in China, 2011–2016
par: Jimin Sun, et autres
Publié: (2017) -
Evaluating the spatial and temporal patterns of the severe fever thrombocytopenia syndrome in Republic of Korea
par: Seongwoo Park, et autres
Publié: (2021) -
Baseline mapping of severe fever with thrombocytopenia syndrome virology, epidemiology and vaccine research and development
par: Nathen E. Bopp, et autres
Publié: (2020)