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Adjuvant Therapy System of COVID-19 Patient: Integrating Warning, Therapy, Post-Therapy Psychological Intervention.
Li, Miao; Hao, Yixue; Ma, Yaxiong; Chen, Jincai; Hu, Long; Chen, Min; Hwang, Kai; Liu, Zhongchun.
  • Li M; School of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan 430074 China.
  • Hao Y; School of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan 430074 China.
  • Ma Y; School of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan 430074 China.
  • Chen J; School of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan 430074 China.
  • Hu L; School of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan 430074 China.
  • Chen M; School of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan 430074 China.
  • Hwang K; Shenzhen Institute of Artificial Intelligence and Robotics for SocietyChinese University of Hong Kong Shenzhen 518172 China.
  • Liu Z; School of Data Science (SDS)Chinese University of Hong Kong Shenzhen 518172 China.
IEEE Trans Netw Sci Eng ; 9(1): 247-257, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1238354
ABSTRACT
The 2019 novel coronavirus(COVID-19) spreads rapidly, and the large-scale infection leads to the lack of medical resources. For the purpose of providing more reasonable medical service to COVID-19 patients, we designed an novel adjuvant therapy system integrating warning, therapy, and post-therapy psychological intervention. The system combines data analysis, communication networks and artificial intelligence(AI) to design a guidance framework for the treatment of COVID-19 patients. Specifically, in this system, we first can use blood characteristic data to help make a definite diagnosis and classify the patients. Then, the classification results, together with the blood characteristics and underlying diseases disease characteristics of the patient, can be used to assist the doctor in treat treating the patient according to AI algorithms. Moreover, after the patient is discharged from the hospital, the system can monitor the psychological and physiological state at the data collection layer. And in the data feedback layer, this system can analyze the data and report the abnormalities of the patient to the doctor through communication network. Experiments show the effectiveness of our proposed system.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: IEEE Trans Netw Sci Eng Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: IEEE Trans Netw Sci Eng Year: 2022 Document Type: Article