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Deep learning for medical decision support systems / Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut.

1st ed. 2021.

9789811563256
981156325X
9811563241
9789811563249
9789811563263 (print)
9811563268
9789811563270 (print)
9811563276

Singapore : Springer, [2021]

English

1 online resource (XVIII, 171 pages) : 63 illustrations, 60 illustrations in color.

10.1007/978-981-15-6325-6 doi

R859.7.A78 K67 2021

006.3

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 enjoysgreat 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 subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedical education.

Includes bibliographical references.

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text file PDF

Studies in computational intelligence.

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