| ISBN13: | 9780367692476 |
| ISBN10: | 0367692473 |
| Binding: | Hardback |
| No. of pages: | 344 pages |
| Size: | 234x156 mm |
| Weight: | 571 g |
| Language: | English |
| Illustrations: | 128 Illustrations, black & white; 13 Halftones, black & white; 115 Line drawings, black & white; 56 Tables, black & white |
| 244 |
Mathematics in general
Infectious diseases, microbiology
Engineering in general
Electrical engineering and telecommunications, precision engineering
Energy industry
Theory of computing, computing in general
Computer architecture, logic design
Artificial Intelligence
Environmental sciences
Further readings in the field of technology
Product design
Intelligent Computing Applications for COVID-19
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This book provides insight into the recent advances of applications, statistical methods, and mathematical modeling for the healthcare industry.
Accurate estimation, diagnosis, and prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and implement AI, and Mathematical Modeling applications. This book provides insight into the recent advances of applications, statistical methods, and mathematical modeling for the healthcare industry.
This book covers the state-of-the-art applications of AI and Machine Learning in past epidemics, pandemics, and COVID-19. It offers recent global case studies, and discusses how AI and statistical methods, initiatives, and applications such as Machine Learning, Deep Learning, Correlation and Regression Analysis play a major role in the prediction, diagnosis, and prevention of a pandemic. It will also focus on how AI and statistical applications can facilitate and restructure the healthcare system.
This book is written for Researchers, Students, Professionals, Executives, and the general public.
Chapter 1
Deep Learning for COVID-19 Infection?s Diagnosis, Prevention, and Treatment
Chapter 2
Artificial Intelligence in Coronavirus Detection?Recent Findings and Future Perspectives
Chapter 3
Solutions of Differential Equations for Prediction of COVID-19 Cases by Homotopy Perturbation Method
Chapter 4
Predictive Models of Hospital Readmission Rate Using the Improved AdaBoost in COVID-19
Chapter 5
Nigerian Medical Laboratory Diagnosis of COVID-19; from Grass to Grace
Chapter 6
COVID-19 CT Image Segmentation and Detection: Review
Chapter 7
Interactive Medical Chatbot for Assisting with COVID-related Queries
Chapter 8
COVID-19 Outbreak Prediction After Lockdown, Based on Current Data Analytics
Chapter 9
A Deep Learning CNN Model for Genome Sequence Classification
Chapter 10
The Impact of Lockdown Strategies on COVID-19 Cases with a Confined Sentiment Analysis of COVID-19 Tweets
Chapter 11
A Mathematical Model and Forecasting of COVID-19 Outbreak in India
Chapter 12
Automatic Lung Infection Segmentation of COVID-19 in CT Scan Images
Chapter 13
A Review of Feature Selection Algorithms in Determining the Factors Affecting COVID-19
Chapter 14
Industry 4.0 Technology-based Diagnosis for COVID-19
Index
