Deep learning for medical decision support systems / Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut.
This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoys great p...
I tiakina i:
| Ngā kaituhi matua: | , , , |
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| Hōputu: | iPukapuka |
| Reo: | English |
| I whakaputaina: |
Singapore :
Springer,
[2021]
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| Rangatū: | Studies in computational intelligence ;
v. 909. |
| Ngā marau: | |
| Urunga tuihono: | Springer eBooks |
| Whakarāpopototanga: | This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoys great popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because todays problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedical education. |
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| Whakaahuatanga ōkiko: | 1 online resource (xviii, 171 pages) : illustrations. |
| Rārangi puna kōrero: | Includes bibliographical references. |
| ISBN: | 981156325X 9789811563256 9811563241 9789811563249 |
| ISSN: | 1860-949X ; |