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Artificial Intelligence in Medicine : 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26-29, 2019, Proceedings / edited by David Riaño, Szymon Wilk, Annette ten Teije.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 11526.
- Lecture Notes in Artificial Intelligence ; 11526
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computers.
- Computer organization.
- Optical data processing.
- Application software.
- Mathematical statistics.
- Artificial Intelligence.
- Information Systems and Communication Service.
- Computer Systems Organization and Communication Networks.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Computer Applications.
- Probability and Statistics in Computer Science.
- Local Subjects:
- Artificial Intelligence.
- Information Systems and Communication Service.
- Computer Systems Organization and Communication Networks.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Computer Applications.
- Probability and Statistics in Computer Science.
- Physical Description:
- 1 online resource (XVIII, 429 pages) : 136 illustrations, 98 illustrations in color.
- Edition:
- First edition 2019.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.
- Contents:
- Deep Learning
- Simulation
- Knowledge Representation
- Probabilistic Models
- Behaviour Monitoring
- Clustering, Natural Language Processing, and Decision Support
- Feature Selection
- Image Processing
- General Machine Learning
- Unsupervised Learning.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-21642-9
- 9783030216429
- Access Restriction:
- Restricted for use by site license.
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