Adjuvant Therapy System of COVID-19 Patient: Integrating Warning, Therapy, Post-Therapy Psychological Intervention.
Miao LiYixue HaoYaxiong MaJincai ChenLong HuMin ChenKai HwangZhongchun LiuPublished in: IEEE transactions on network science and engineering (2021)
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.
Keyphrases
- artificial intelligence
- data analysis
- big data
- sars cov
- case report
- machine learning
- randomized controlled trial
- deep learning
- healthcare
- electronic health record
- coronavirus disease
- systematic review
- patient reported outcomes
- smoking cessation
- replacement therapy
- respiratory syndrome coronavirus
- prognostic factors
- drug induced