This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.
| ISBN: | 9783031197512 |
| Publication date: | 2nd February 2023 |
| Author: | G R Kanagachidambaresan, Dinesh Kumar Bhatia, Dhilip Kumar, Animesh Mishra |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 391 pages |
| Series: | Signals and Communication Technology |
| Genres: |
Communications engineering / telecommunications Machine learning Computer applications in industry and technology Artificial intelligence |
This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.
System Design for Epidemics Using Machine Learning and Deep Learning features in the following genres: Communications engineering / telecommunications, Machine learning, Computer applications in industry and technology, Artificial intelligence
System Design for Epidemics Using Machine Learning and Deep Learning is available in Hardback
System Design for Epidemics Using Machine Learning and Deep Learning was written by G R Kanagachidambaresan, Dinesh Kumar Bhatia, Dhilip Kumar, Animesh Mishra and published by Springer an imprint of Springer International Publishing
System Design for Epidemics Using Machine Learning and Deep Learning has 391 pages
Yes it is part of Signals and Communication Technology series
£161.99