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Deep learning for medical decision s...

Kose, Utku.

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Deep learning for medical decision support systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deep learning for medical decision support systems/ by Utku Kose ... [et al.].
other author:	Kose, Utku.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xviii, 171 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Deep Learning for Innovative Medical Decision Support -- Deep Learning and Image Analysis for Medical Decision Support -- Deep Learning Oriented Systems for Medical Education -- Hybrid Deep Systems for Medical Education and Decision Support.
Contained By:	Springer eBooks
Subject:	Artificial intelligence - Medical applications. -
Online resource:	https://doi.org/10.1007/978-981-15-6325-6
ISBN:	9789811563256

Deep learning for medical decision support systems
Deep learning for medical decision support systems[electronic resource] /by Utku Kose ... [et al.]. - Singapore :Springer Singapore :2021. - xviii, 171 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.9091860-949X ;. - Studies in computational intelligence ;v.909..

Deep Learning for Innovative Medical Decision Support -- Deep Learning and Image Analysis for Medical Decision Support -- Deep Learning Oriented Systems for Medical Education -- Hybrid Deep Systems for Medical Education and Decision Support.

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 today's 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 biomedicaleducation.

ISBN: 9789811563256

Standard No.: 10.1007/978-981-15-6325-6doiSubjects--Topical Terms:

900591
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

Deep learning for medical decision support systems
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245 0 0 $a Deep learning for medical decision support systems $h [electronic resource] / $c by Utku Kose ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xviii, 171 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.909
505 0 $a Deep Learning for Innovative Medical Decision Support -- Deep Learning and Image Analysis for Medical Decision Support -- Deep Learning Oriented Systems for Medical Education -- Hybrid Deep Systems for Medical Education and Decision Support.
520 $a 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 today's 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 biomedicaleducation.
650 0 $a Artificial intelligence $x Medical applications. $3 900591
650 0 $a Machine learning. $3 533906
650 0 $a Decision support systems. $3 545674
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Health Informatics. $3 892928
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Signal, Image and Speech Processing. $3 891073
700 1 $a Kose, Utku. $3 3486174
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.909. $3 3486175
856 4 0 $u https://doi.org/10.1007/978-981-15-6325-6
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)