About: A predictive model for disease progression in non-severe illness patients with Corona Virus Disease 2019

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About: A predictive model for disease progression in non-severe illness patients with Corona Virus Disease 2019 Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A predictive model for disease progression in non-severe illness patients with Corona Virus Disease 2019
Creator	Shi, Lei Li, Ming Yuan, Lei Chen, Jia Liu, Bo An, Ping Shen, Wei Li, Yong Ding, Yijuan Dong, Weiguo Ji, Mengyao Lin, Qiang Lu, Xuefang Hu, Lanhua Liang, Zhenzhen Lv, Junwei Chen, Zhifan Dong ∆, Weiguo Gao, Mengting Ni, Hao Shi, Guanglei Xie, Wenjie Zhu, Chaonan Zhu, Sheng
Source	Medline; PMC
abstract	A predictive model for Corona Virus Disease 2019
has issue date	2020-05-19(xsd:dateTime)
bibo:doi	10.1183/13993003.01234-2020
bibo:pmid	32430433
has license	cc-by-nc
sha1sum (hex)	8022cea25fe94d8d3cbc6513125f15f952d0bf78
schema:url	https://doi.org/10.1183/13993003.01234-2020
resource representing a document's title	A predictive model for disease progression in non-severe illness patients with Corona Virus Disease 2019
has PubMed Central identifier	PMC7241108
has PubMed identifier	32430433
schema:publication	Eur Respir J
resource representing a document's body	covid:8022cea25fe94d8d3cbc6513125f15f952d0bf78#body_text
is schema:about of	named entity 'predictive model' named entity '2019' named entity 'illness' named entity 'RESEARCH' named entity 'Disease' named entity 'disease progression' named entity 'pneumonia' named entity 'immune function' named entity 'lactate dehydrogenase' named entity 'CT imaging' named entity 'follow-up' named entity 'COVID' named entity 'lactate dehydrogenase' named entity 'cerebrovascular diseases' named entity 'COVID' named entity 'ROC curve' named entity 'comorbidity' named entity 'multivariate regression' named entity '95% CI' named entity 'comorbidities' named entity 'COVID' named entity 'follow-up' named entity 'China' named entity 'comorbidities' named entity 'end point' named entity 'dyspnea' named entity 'validation dataset' named entity 'COVID' named entity 'lymphocyte count' named entity 'COVID-19' named entity 'high-risk' named entity 'COVID' named entity 'Clinical characteristics' named entity 'multiple organ dysfunction' named entity 'electronic medical records' named entity 'logistic model' named entity 'comorbidity' named entity 'Wuhan University' named entity 'high-risk groups' named entity 'lymphocyte count' named entity 'comorbidity' named entity 'dyspnea' named entity 'prognosis' named entity 'community-acquired pneumonia' named entity 'COVID' named entity 'double-blind method' named entity 'risk group' named entity '2, 3' named entity 'risk factors' named entity 'severe pneumonia' named entity 'clinical characteristics' named entity 'predictive model' named entity 'chronic liver disease' named entity 'dyspnea' named entity 'oxygen support' named entity 'immunodeficiency diseases' named entity '5.0' named entity 'COVID'

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