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5. ITBAM 2014: Munich, Germany

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Miroslav Bursa, Sami Khuri, M. Elena Renda:
Information Technology in Bio- and Medical Informatics - 5th International Conference, ITBAM 2014, Munich, Germany, September 2, 2014. Proceedings. Lecture Notes in Computer Science 8649, Springer 2014, ISBN 978-3-319-10264-1

Clustering and Bioinformatics

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  - conf/itbam/KarimiBGBH14
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Ramin Karimi, Ladjel Bellatreche, Patrick Girard, Ahcène Boukorca, András Hajdu:
BINOS4DNA: Bitmap Indexes and NoSQL for Identifying Species with DNA Signatures through Metagenomics Samples. 1-14
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Valeriy Khakhutskyy, Michael Schwarzfischer, Nina C. Hubig, Claudia Plant, Carsten Marr, Michael A. Rieger, Timm Schroeder, Fabian J. Theis:
Centroid Clustering of Cellular Lineage Trees. 15-29
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Pietro Hiram Guzzi, Elio Masciari, Giuseppe Massimiliano Mazzeo, Carlo Zaniolo:
A Discussion on the Biological Relevance of Clustering Results. 30-44

Medical Image and Data Processing

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Sebastian Goebl, Anke Meyer-Bäse, Marc Lobbes, Claudia Plant:
Segmentation and Kinetic Analysis of Breast Lesions in DCE-MR Imaging Using ICA. 45-59
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  - conf/itbam/BochicchioVLMT14
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Mario A. Bochicchio, Lucia Vaira, Antonella Longo, Antonio Malvasi, Andrea Tinelli:
Quantitative Fetal Growth Curves Comparison: A Collaborative Approach. 60-74

Poster Session

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Qingshan Li, Jing Feng, Lu Wang, Hua Chu, WeiJuan Fu:
Knowledge Reasoning Model to Support Clinical Decision Making. 75-78
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Qingshan Li, Jing Feng, Lu Wang, Hua Chu, He Yu:
Method for Knowledge Acquisition and Decision-Making Process Analysis in Clinical Decision Support System. 79-82
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Eshref Januzaj:
Towards the Integration of the Knowledge from Biomedical Databases. 83-86

Knowledge Discovery and Machine Learning in Medicine

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Filipe Portela, Manuel Filipe Santos, José Machado, António Abelha, Álvaro M. Silva, Fernando Rua:
Pervasive and Intelligent Decision Support in Intensive Medicine - The Complete Picture. 87-102
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  - conf/itbam/CordovesLTPER14
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Taymi Ceruto Cordovés, Orenia Lapeira, Annika Tonch, Claudia Plant, Rafael Espin, Alejandro Rosete:
Mining Medical Data to Obtain Fuzzy Predicates. 103-117
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Frantisek Babic, Ljiljana Majnaric, Alexandra Lukácová, Ján Paralic, Andreas Holzinger:
On Patient's Characteristics Extraction for Metabolic Syndrome Diagnosis: Predictive Modelling Based on Machine Learning. 118-132
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Kaoru Shimada, Takashi Hanioka:
An Evolutionary Method for Exceptional Association Rule Set Discovery from Incomplete Database. 133-147

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