Artificial Intelligence in Medicine [electronic resource] : 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings / edited by Annette ten Teije, Christian Popow, John H. Holmes, Lucia Sacchi.
Contributor(s): ten Teije, Annette [editor.]
| Popow, Christian [editor.] | Holmes, John H [editor.] | Sacchi, Lucia [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 10259Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XXV, 369 p. 75 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319597584.Subject(s): Artificial intelligence | Data mining | Machine theory | Computer programming | Compilers (Computer programs) | Artificial Intelligence | Data Mining and Knowledge Discovery | Formal Languages and Automata Theory | Programming Techniques | Compilers and InterpretersAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 16th Conference on Artificial Intelligence in Medicine, AIME 2017, held in Vienna, Austria, in June 2017. The 21 revised full and 23 short papers presented were carefully reviewed and selected from 113 submissions. The papers are organized in the following topical sections: ontologies and knowledge representation; Bayesian methods; temporal methods; natural language processing; health care processes; and machine learning, and a section with demo papers. .
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This book constitutes the refereed proceedings of the 16th Conference on Artificial Intelligence in Medicine, AIME 2017, held in Vienna, Austria, in June 2017. The 21 revised full and 23 short papers presented were carefully reviewed and selected from 113 submissions. The papers are organized in the following topical sections: ontologies and knowledge representation; Bayesian methods; temporal methods; natural language processing; health care processes; and machine learning, and a section with demo papers. .
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