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

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 “c...

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Autores principales: Bai, Li, Yang, Dawei, Wang, Xun, Tong, Lin, Zhu, Xiaodan, Zhong, Nanshan, Bai, Chunxue, Powell, Charles A., Chen, Rongchang, Zhou, Jian, Song, Yuanlin, Zhou, Xin, Zhu, Huili, Han, Baohui, Li, Qiang, Shi, Guochao, Li, Shengqing, Wang, Changhui, Qiu, Zhongmin, Zhang, Yong, Xu, Yu, Liu, Jie, Zhang, Ding, Wu, Chaomin, Li, Jing, Yu, Jinming, Wang, Jiwei, Dong, Chunling, Wang, Yaoli, Wang, Qi, Zhang, Lichuan, Zhang, Min, Ma, Xia, Zhao, Lin, Yu, Wencheng, Xu, Tao, Jin, Yang, Wang, Xiongbiao, Wang, Yuehong, Jiang, Yan, Chen, Hong, Xiao, Kui, Zhang, Xiaoju, Song, Zhenju, Zhang, Ziqiang, Wu, Xueling, Sun, Jiayuan, Shen, Yao, Ye, Maosong, Tu, Chunlin, Jiang, Jinjun, Yu, Hai, Tan, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148716/
http://dx.doi.org/10.1016/j.ceh.2020.03.001
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author Bai, Li
Yang, Dawei
Wang, Xun
Tong, Lin
Zhu, Xiaodan
Zhong, Nanshan
Bai, Chunxue
Powell, Charles A.
Chen, Rongchang
Zhou, Jian
Song, Yuanlin
Zhou, Xin
Zhu, Huili
Han, Baohui
Li, Qiang
Shi, Guochao
Li, Shengqing
Wang, Changhui
Qiu, Zhongmin
Zhang, Yong
Xu, Yu
Liu, Jie
Zhang, Ding
Wu, Chaomin
Li, Jing
Yu, Jinming
Wang, Jiwei
Dong, Chunling
Wang, Yaoli
Wang, Qi
Zhang, Lichuan
Zhang, Min
Ma, Xia
Zhao, Lin
Yu, Wencheng
Xu, Tao
Jin, Yang
Wang, Xiongbiao
Wang, Yuehong
Jiang, Yan
Chen, Hong
Xiao, Kui
Zhang, Xiaoju
Song, Zhenju
Zhang, Ziqiang
Wu, Xueling
Sun, Jiayuan
Shen, Yao
Ye, Maosong
Tu, Chunlin
Jiang, Jinjun
Yu, Hai
Tan, Fei
author_facet Bai, Li
Yang, Dawei
Wang, Xun
Tong, Lin
Zhu, Xiaodan
Zhong, Nanshan
Bai, Chunxue
Powell, Charles A.
Chen, Rongchang
Zhou, Jian
Song, Yuanlin
Zhou, Xin
Zhu, Huili
Han, Baohui
Li, Qiang
Shi, Guochao
Li, Shengqing
Wang, Changhui
Qiu, Zhongmin
Zhang, Yong
Xu, Yu
Liu, Jie
Zhang, Ding
Wu, Chaomin
Li, Jing
Yu, Jinming
Wang, Jiwei
Dong, Chunling
Wang, Yaoli
Wang, Qi
Zhang, Lichuan
Zhang, Min
Ma, Xia
Zhao, Lin
Yu, Wencheng
Xu, Tao
Jin, Yang
Wang, Xiongbiao
Wang, Yuehong
Jiang, Yan
Chen, Hong
Xiao, Kui
Zhang, Xiaoju
Song, Zhenju
Zhang, Ziqiang
Wu, Xueling
Sun, Jiayuan
Shen, Yao
Ye, Maosong
Tu, Chunlin
Jiang, Jinjun
Yu, Hai
Tan, Fei
author_sort Bai, Li
collection PubMed
description 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.
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spelling pubmed-71487162020-04-13 Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19) Bai, Li Yang, Dawei Wang, Xun Tong, Lin Zhu, Xiaodan Zhong, Nanshan Bai, Chunxue Powell, Charles A. Chen, Rongchang Zhou, Jian Song, Yuanlin Zhou, Xin Zhu, Huili Han, Baohui Li, Qiang Shi, Guochao Li, Shengqing Wang, Changhui Qiu, Zhongmin Zhang, Yong Xu, Yu Liu, Jie Zhang, Ding Wu, Chaomin Li, Jing Yu, Jinming Wang, Jiwei Dong, Chunling Wang, Yaoli Wang, Qi Zhang, Lichuan Zhang, Min Ma, Xia Zhao, Lin Yu, Wencheng Xu, Tao Jin, Yang Wang, Xiongbiao Wang, Yuehong Jiang, Yan Chen, Hong Xiao, Kui Zhang, Xiaoju Song, Zhenju Zhang, Ziqiang Wu, Xueling Sun, Jiayuan Shen, Yao Ye, Maosong Tu, Chunlin Jiang, Jinjun Yu, Hai Tan, Fei Clinical eHealth Article 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. The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. 2020 2020-03-17 /pmc/articles/PMC7148716/ http://dx.doi.org/10.1016/j.ceh.2020.03.001 Text en © 2020 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Bai, Li
Yang, Dawei
Wang, Xun
Tong, Lin
Zhu, Xiaodan
Zhong, Nanshan
Bai, Chunxue
Powell, Charles A.
Chen, Rongchang
Zhou, Jian
Song, Yuanlin
Zhou, Xin
Zhu, Huili
Han, Baohui
Li, Qiang
Shi, Guochao
Li, Shengqing
Wang, Changhui
Qiu, Zhongmin
Zhang, Yong
Xu, Yu
Liu, Jie
Zhang, Ding
Wu, Chaomin
Li, Jing
Yu, Jinming
Wang, Jiwei
Dong, Chunling
Wang, Yaoli
Wang, Qi
Zhang, Lichuan
Zhang, Min
Ma, Xia
Zhao, Lin
Yu, Wencheng
Xu, Tao
Jin, Yang
Wang, Xiongbiao
Wang, Yuehong
Jiang, Yan
Chen, Hong
Xiao, Kui
Zhang, Xiaoju
Song, Zhenju
Zhang, Ziqiang
Wu, Xueling
Sun, Jiayuan
Shen, Yao
Ye, Maosong
Tu, Chunlin
Jiang, Jinjun
Yu, Hai
Tan, Fei
Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)
title Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)
title_full Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)
title_fullStr Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)
title_full_unstemmed Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)
title_short Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)
title_sort chinese experts’ consensus on the internet of things-aided diagnosis and treatment of coronavirus disease 2019 (covid-19)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148716/
http://dx.doi.org/10.1016/j.ceh.2020.03.001
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