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

  1. Bai, Li
  2. Yang, Dawei
  3. Wang, Xun
  4. Tong, Lin
  5. Zhu, Xiaodan
  6. Zhong, Nanshan
  7. Bai, Chunxue
  8. Powell, Charles A.
  9. Chen, Rongchang
  10. Zhou, Jian
  11. Song, Yuanlin
  12. Zhou, Xin
  13. Zhu, Huili
  14. Han, Baohui
  15. Li, Qiang
  16. Shi, Guochao
  17. Li, Shengqing
  18. Wang, Changhui
  19. Qiu, Zhongmin
  20. Zhang, Yong
  21. Xu, Yu
  22. Liu, Jie
  23. Zhang, Ding
  24. Wu, Chaomin
  25. Li, Jing
  26. Yu, Jinming
  27. Wang, Jiwei
  28. Dong, Chunling
  29. Wang, Yaoli
  30. Wang, Qi
  31. Zhang, Lichuan
  32. Zhang, Min
  33. Ma, Xia
  34. Zhao, Lin
  35. Yu, Wencheng
  36. Xu, Tao
  37. Jin, Yang
  38. Wang, Xiongbiao
  39. Wang, Yuehong
  40. Jiang, Yan
  41. Chen, Hong
  42. Xiao, Kui
  43. Zhang, Xiaoju
  44. Song, Zhenju
  45. Zhang, Ziqiang
  46. Wu, Xueling
  47. Sun, Jiayuan
  48. Shen, Yao
  49. Ye, Maosong
  50. Tu, Chunlin
  51. Jiang, Jinjun
  52. Yu, Hai
  53. Tan, Fei

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WeightNameValue
1000 Titel
  • Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)
1000 Autor/in
  1. Bai, Li |
  2. Yang, Dawei |
  3. Wang, Xun |
  4. Tong, Lin |
  5. Zhu, Xiaodan |
  6. Zhong, Nanshan |
  7. Bai, Chunxue |
  8. Powell, Charles A. |
  9. Chen, Rongchang |
  10. Zhou, Jian |
  11. Song, Yuanlin |
  12. Zhou, Xin |
  13. Zhu, Huili |
  14. Han, Baohui |
  15. Li, Qiang |
  16. Shi, Guochao |
  17. Li, Shengqing |
  18. Wang, Changhui |
  19. Qiu, Zhongmin |
  20. Zhang, Yong |
  21. Xu, Yu |
  22. Liu, Jie |
  23. Zhang, Ding |
  24. Wu, Chaomin |
  25. Li, Jing |
  26. Yu, Jinming |
  27. Wang, Jiwei |
  28. Dong, Chunling |
  29. Wang, Yaoli |
  30. Wang, Qi |
  31. Zhang, Lichuan |
  32. Zhang, Min |
  33. Ma, Xia |
  34. Zhao, Lin |
  35. Yu, Wencheng |
  36. Xu, Tao |
  37. Jin, Yang |
  38. Wang, Xiongbiao |
  39. Wang, Yuehong |
  40. Jiang, Yan |
  41. Chen, Hong |
  42. Xiao, Kui |
  43. Zhang, Xiaoju |
  44. Song, Zhenju |
  45. Zhang, Ziqiang |
  46. Wu, Xueling |
  47. Sun, Jiayuan |
  48. Shen, Yao |
  49. Ye, Maosong |
  50. Tu, Chunlin |
  51. Jiang, Jinjun |
  52. Yu, Hai |
  53. Tan, Fei |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-03-17
1000 Erschienen in
1000 Quellenangabe
  • 3:7-15
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.ceh.2020.03.001 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Cloud plus terminal
lokal Intelligent assistance
lokal Internet of Things
lokal Quality control
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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