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Artificial Intelligence in Medicine [electronic resource] : 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.

Contributor(s): Riaño, David [editor.] | Wilk, Szymon [editor.] | ten Teije, Annette [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 11526Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XVIII, 429 p. 136 illus., 98 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030216429.Subject(s): Artificial intelligence | Computer networks  | Computer engineering | Image processing -- Digital techniques | Computer vision | Application software | Computer science -- Mathematics | Mathematical statistics | Artificial Intelligence | Computer Communication Networks | Computer Engineering and Networks | Computer Imaging, Vision, Pattern Recognition and Graphics | Computer and Information Systems Applications | Probability and Statistics in Computer ScienceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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