Information Technology in Bio- and Medical Informatics

1. Front Matter

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2. Clustering and Bioinformatics

   1. BINOS4DNA: Bitmap Indexes and NoSQL for Identifying Species with DNA Signatures through Metagenomics Samples

      • Ramin Karimi, Ladjel Bellatreche, Patrick Girard, Ahcene Boukorca, Andras Hajdu

      Pages 1-14

   2. Centroid Clustering of Cellular Lineage Trees

      • Valeriy Khakhutskyy, Michael Schwarzfischer, Nina Hubig, Claudia Plant, Carsten Marr, Michael A. Rieger et al.

      Pages 15-29

   3. A Discussion on the Biological Relevance of Clustering Results

      • Pietro Hiram Guzzi, Elio Masciari, Giuseppe Massimiliano Mazzeo, Carlo Zaniolo

      Pages 30-44

3. Medical Image and Data Processing

   1. Segmentation and Kinetic Analysis of Breast Lesions in DCE-MR Imaging Using ICA

      • Sebastian Goebl, Anke Meyer-Baese, Marc Lobbes, Claudia Plant

      Pages 45-59

   2. Quantitative Fetal Growth Curves Comparison: A Collaborative Approach

      • Mario A. Bochicchio, Lucia Vaira, Antonella Longo, Antonio Malvasi, Andrea Tinelli

      Pages 60-74

4. Poster Session

   1. Knowledge Reasoning Model to Support Clinical Decision Making

      • Qingshan Li, Jing Feng, Lu Wang, Hua Chu, WeiJuan Fu

      Pages 75-78

   2. Method for Knowledge Acquisition and Decision-Making Process Analysis in Clinical Decision Support System

      • Qingshan Li, Jing Feng, Lu Wang, Hua Chu, He Yu

      Pages 79-82

   3. Towards the Integration of the Knowledge from Biomedical Databases

      • Eshref Januzaj

      Pages 83-86

5. Knowledge Discovery and Machine Learning in Medicine

   1. Pervasive and Intelligent Decision Support in Intensive Medicine – The Complete Picture

      • Filipe Portela, Manuel Filipe Santos, José Machado, António Abelha, Álvaro Silva, Fernando Rua

      Pages 87-102

   2. Mining Medical Data to Obtain Fuzzy Predicates

      • Taymi Ceruto, Orenia Lapeira, Annika Tonch, Claudia Plant, Rafael Espin, Alejandro Rosete

      Pages 103-117

   3. On Patient’s Characteristics Extraction for Metabolic Syndrome Diagnosis: Predictive Modelling Based on Machine Learning

      • František Babič, Ljiljana Majnarić, Alexandra Lukáčová, Ján Paralič, Andreas Holzinger

      Pages 118-132

   4. An Evolutionary Method for Exceptional Association Rule Set Discovery from Incomplete Database

      • Kaoru Shimada, Takashi Hanioka

      Pages 133-147

6. Back Matter

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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.

• applied computing
• bioinformatics
• data management systems
• data mining
• decision support systems
• health informatics
• image processing
• information systems
• knowledge discovery
• machine learning

• Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University in Prague, Prague 6, Czech Republic

  Miroslav Bursa

• Department of Computer Science, San Jose State University, San Jose, USA

  Sami Khuri

• Istituto di Informatica e Telematica del CNR, Pisa, Italy

  M. Elena Renda

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