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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 /

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): Computer Science | Artificial intelligence | Information systems | Computer network architectures | Computer vision | Computer science | 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 ScienceOnline 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 eBooksSummary: 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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