Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11843)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: PRIME 2019.
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Table of contents(19 papers)
Other volumes
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Predictive Intelligence in Medicine
Keywords
- artificial intelligence
- classification
- ct image
- decision trees
- dimensionality reduction
- feature selection
- fuzzy control
- fuzzy sets
- fuzzy systems
- image processing
- image reconstruction
- image segmentation
- machine learning
- manifold learning
- neural networks
- pattern recognition
- random forests
- regression analysis
- regression model
- Support Vector Machines (SVM)
About this book
The 18 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine.
Editors and Affiliations
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BASIRA, Istanbul Technical University, Istanbul, Turkey
Islem Rekik
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Stanford University, Stanford, USA
Ehsan Adeli
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Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea (Republic of)
Sang Hyun Park
Bibliographic Information
Book Title: Predictive Intelligence in Medicine
Book Subtitle: Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Editors: Islem Rekik, Ehsan Adeli, Sang Hyun Park
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-32281-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-32280-9Published: 11 October 2019
eBook ISBN: 978-3-030-32281-6Published: 10 October 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 178
Number of Illustrations: 10 b/w illustrations, 48 illustrations in colour
Topics: Artificial Intelligence, Probability and Statistics in Computer Science, Computer Imaging, Vision, Pattern Recognition and Graphics, Algorithm Analysis and Problem Complexity, Data Mining and Knowledge Discovery