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Information Technology in Bio- and Medical Informatics electronic resource 5th International Conference, ITBAM 2014, Munich, Germany, September 2, 2014. Proceedings / edited by Miroslav Bursa, Sami Khuri, M. Elena Renda.

Contributor(s): Bursa, Miroslav [editor.] | Khuri, Sami [editor.] | Renda, M. Elena [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Computer SciencePublication details: Cham : Springer International Publishing : Imprint: Springer, 2014Description: X, 149 p. 47 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319102658Subject(s): Computer Science | Medical records -- Data processing | Database management | Data mining | Bioinformatics | Computer Science | Data Mining and Knowledge Discovery | Health Informatics | Information Systems Applications (incl. Internet) | Database Management | Computational Biology/BioinformaticsDDC classification: 006.312 LOC classification: QA76.9.D343Online resources: Click here to access online
Contents:
Clustering and bioinformatics -- Medical image and data processing -- Knowledge discovery and machine learning in medicine.
In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 5th International Conference on Information Technology in Bio- and Medical Informatics, ITBAM 2014, held in Munich, Germany, in September 2014, in conjunction with DEXA 2014. The 9 revised long papers presented together with 3 short papers were carefully reviewed and selected from numerous submissions. The papers address the following topics: clustering and bioinformatics; medical image and data processing; and knowledge discovery and machine learning in medicine.
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Clustering and bioinformatics -- Medical image and data processing -- Knowledge discovery and machine learning in medicine.

This book constitutes the refereed proceedings of the 5th International Conference on Information Technology in Bio- and Medical Informatics, ITBAM 2014, held in Munich, Germany, in September 2014, in conjunction with DEXA 2014. The 9 revised long papers presented together with 3 short papers were carefully reviewed and selected from numerous submissions. The papers address the following topics: clustering and bioinformatics; medical image and data processing; and knowledge discovery and machine learning in medicine.

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