This book covers a variety of advanced communications technologies that can be used to analyze medical data and can be used to diagnose diseases in clinic centers. The book is a primer of methods for medicine, providing an overview of explainable artificial intelligence (AI) techniques that can be applied in different medical challenges. The authors discuss how to select and apply the proper technology depending on the provided data and the analysis desired. Because a variety of data can be used in the medical field, the book explains how to deal with challenges connected with each type. A number of scenarios are introduced that can happen in real-time environments, with each pared with a type of machine learning that can be used to solve it.
| ISBN: | 9783031448799 |
| Publication date: | 15th December 2024 |
| Author: | Karol Przystalski, Rohit M Thanki |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 82 pages |
| Series: | Synthesis Lectures on Engineering, Science, and Technology |
| Genres: |
Communications engineering / telecommunications Computer applications in industry and technology Artificial intelligence Biomedical engineering |
This book covers a variety of advanced communications technologies that can be used to analyze medical data and can be used to diagnose diseases in clinic centers. The book is a primer of methods for medicine, providing an overview of explainable artificial intelligence (AI) techniques that can be applied in different medical challenges.
Explainable Machine Learning in Medicine features in the following genres: Communications engineering / telecommunications, Computer applications in industry and technology, Artificial intelligence, Biomedical engineering
Paperback, Hardback. £62.99, down from the £69.99 cover price. Not Available.
Explainable Machine Learning in Medicine was written by Karol Przystalski, Rohit M Thanki and published by Springer an imprint of Springer International Publishing
Explainable Machine Learning in Medicine has 82 pages
Yes it is part of Synthesis Lectures on Engineering, Science, and Technology series
£62.99, reduced from £69.99. Not Available.