Description
| Product ID: | 9781032367118 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Series: | Analytics and AI for Healthcare |
| Title: | Explainable AI in Healthcare |
| Subtitle: | Unboxing Machine Learning for Biomedicine |
| Authors: | Author: Mehul S Raval, Tolga Kaya, Rupal Kapdi, Mohendra Roy |
| Page Count: | 304 |
| Subjects: | Medicine: general issues, Medicine: general issues, Medical and health informatics, Biomedical engineering, Biology, life sciences, Environmental science, engineering and technology, Artificial intelligence, Medical bioinformatics, Biomedical engineering, Biology, life sciences, Environmental science, engineering & technology, Artificial intelligence |
| Description: | Select Guide Rating This title covers computer vision and machine learning (ML) advances that facilitate automation in diagnostic, therapeutic, and preventative healthcare. The book shows the development of algorithms and architectures for healthcare. This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering. This book will benefit readers in the following ways:
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| Imprint Name: | Chapman & Hall/CRC |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2023-07-17 |
