Information Technology in Bio- and Medical Informatics [electronic resource] : 6th International Conference, ITBAM 2015, Valencia, Spain, September 3-4, 2015, Proceedings / edited by M. Elena Renda, Miroslav Bursa, Andreas Holzinger, Sami Khuri.
Contributor(s): Renda, M. Elena [editor.] | Bursa, Miroslav [editor.] | Holzinger, Andreas [editor.] | Khuri, Sami [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 9267Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015.Description: X, 115 p. 32 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319227412.Subject(s): Computer science | Health informatics | Mathematical logic | Database management | Data mining | Bioinformatics | Computer Science | Data Mining and Knowledge Discovery | Health Informatics | Information Systems Applications (incl. Internet) | Database Management | Mathematical Logic and Formal Languages | Computational Biology/BioinformaticsAdditional physical formats: Printed edition:: No titleDDC classification: 006.312 Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes the refereed proceedings of the 6th International Conference on Information Technology in Bio- and Medical Informatics, ITBAM 2015, held in Valencia, Spain, in September 2015, in conjunction with DEXA 2015. The 9 revised long papers presented together with 1 poster paper were carefully reviewed and selected from 15 submissions. The papers address the following two topics: medical terminology and clinical processes and machine learning in biomedicine.
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This book constitutes the refereed proceedings of the 6th International Conference on Information Technology in Bio- and Medical Informatics, ITBAM 2015, held in Valencia, Spain, in September 2015, in conjunction with DEXA 2015. The 9 revised long papers presented together with 1 poster paper were carefully reviewed and selected from 15 submissions. The papers address the following two topics: medical terminology and clinical processes and machine learning in biomedicine.
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