图书简介
The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.
Chapter 1.Comprehensive Claims of AI for Healthcare Applications-Coherence towards COVID-19.- Chapter 2. Artificial Intelligence based systems for combating COVID-19.- Chapter 3. Artificial intelligence mediated medical diagnosis of COVID-19.- Chapter 4. AI combined with medical imaging enables rapid diagnosis for COVID-19.- Chapter 5. Role of Artificial Intelligence in COVID-19 prediction based on Statistical Methods.- Chapter 6. Data Driven symptom Analysis and Location Prediction Model for Clinical Health Data Processing and Knowledgebase Development for COVID 19.- Chapter 7. A decision support System using Rule based Expert System For COVID -19 Prediction and Diagnosis.- Chapter 8. A Predictive Mechanism to Intimate the Danger of Infection via nCOVID-19 through Unsupervised Learning.- Chapter 9. AI-enabled prognosis technologies for SARS Co-2. Chapter 10. Intelligent agent Based Case Base Reasoning Systems Build Knowledge Representation in COVID-19 analysis of Recovery, Infectious Patients.- Chapter 11. Epidemic Analysis of COVID 19 Using Machine Learning.- Chapter 12. Machine learning application in COVID-19 drug development.- Chapter 13. COVID 19 Epidemic Analysis Using Linear and Polynomial Regression Approach.- Chapter 14. Prediction
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