About: Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)

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About: Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19) 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
title	Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)
Creator	Li, Jing Liu, Jie Wang, Qi Xu, Yu Zhang, Yong Bai, Chunxue Jiang, Jinjun Shen, Yao Song, Yuanlin Song, Zhenju Ma, Xia Wang, Xun Zhong, Nanshan Chen, Rongchang Jiang, Yan Li, Qiang Jin, Yang Zhang, Min Chen, Hong Zhou, Jian Wu, Chaomin Zhou, Xin Wang, Jiwei Zhang, Ding Yang, Dawei Al, Hai Bai, Li Dong, Chunling Han, Baohui Li, Shengqing Powell, Charles Qiu, Zhongmin Shi, Guochao Sun, Jiayuan Tan, Fei Tapuyihai, Al Tong, Lin Tu, Chunlin Wang, Changhui Wang, Xiongbiao Wang, Yaoli Wang, Yuehong Wu, Xueling Xiao, Kui Xu, Tao Ye, Maosong Yu, Jinming Yu, Wencheng Zhang, Lichuan Zhang, Xiaoju Zhang, Ziqiang Zhao, Lin Zhu, Huili Zhu, Xiaodan
source	Elsevier; PMC
abstract	Abstract The aim is to diagnose COVID-19 earlier and to improve its treatment by applying medical technology, the “COVID-19 Intelligent Diagnosis and Treatment Assistant Program (nCapp)” based on the Internet of Things. Terminal eight functions can be implemented in real-time online communication with the “cloud” through the page selection key. According to existing data, questionnaires, and check results, the diagnosis is automatically generated as confirmed, suspected, or suspicious of 2019 novel coronavirus (2019-nCoV) infection. It classifies patients into mild, moderate, severe or critical pneumonia. nCapp can also establish an online COVID-19 real-time update database, and it updates the model of diagnosis in real time based on the latest real-world case data to improve diagnostic accuracy. Additionally, nCapp can guide treatment. Front-line physicians, experts, and managers are linked to perform consultation and prevention. nCapp also contributes to the long-term follow-up of patients with COVID-19. The ultimate goal is to enable different levels of COVID-19 diagnosis and treatment among different doctors from different hospitals to upgrade to the national and international through the intelligent assistance of the nCapp system. In this way, we can block disease transmission, avoid physician infection, and epidemic prevention and control as soon as possible.
has issue date	2020-12-31(xsd:dateTime)
bibo:doi	10.1016/j.ceh.2020.03.001
has license	els-covid
sha1sum (hex)	b23e58f5cbd3d23d149f64e909fa7e7caae72b6f
schema:url	https://doi.org/10.1016/j.ceh.2020.03.001
resource representing a document's title	Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)
has PubMed Central identifier	PMC7148716
schema:publication	Clinical eHealth
resource representing a document's body	covid:b23e58f5cbd3d23d149f64e909fa7e7caae72b6f#body_text
is schema:about of	named entity 'medical model' named entity 'COVID' named entity 'administered intravenously' named entity 'infection' named entity 'epidemic' named entity 'treatment of patients' named entity 'cross infection' named entity 'multiple organ failure' named entity 'radiographs' named entity '2019-nCoV' named entity 'CRP' named entity 'respiratory failure' named entity 'Glucocorticoids' named entity 'fever' named entity 'COVID' named entity 'COVID' named entity 'anxiety' named entity 'clinical diagnostic' named entity 'science education' named entity 'immunosuppressive' named entity 'dry cough' named entity 'communication protocol' named entity 'statistical methods' named entity 'tidal volume' named entity 'IoT' named entity 'clinical practice' named entity 'respiratory distress' named entity 'pneumonia' named entity 'hypertension' named entity 'COVID'

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