Brain Informatics and Health

1. Regular Contributions

   1. Brain Informatics and Data Management

      1. A Brain Informatics Research Recommendation System

         • Jian Han, Jianhui Chen, Han Zhong, Ning Zhong

         Pages 208-217

      2. Hadoop for EEG Storage and Processing: A Feasibility Study

         • Ghita Berrada, Maurice van Keulen, Mena B. Habib

         Pages 218-230

      3. Supervised Learning for the Neurosurgery Intensive Care Unit Using Single-Layer Perceptron Classifiers

         • Chad A. Mello, Rory Lewis, Amy Brooks-Kayal, Jessica Carlsen, Heidi Grabenstatter, Andrew M. White

         Pages 231-241

      4. Data and Information Granule Rules Retrieval: Differences of Activation in Parietal Cortex

         • Wei Zhao, Hongyu Li, Gue Gu, Xiuzhen Wang, Guohui Zhou, Jiaxin Cui et al.

         Pages 242-251

   2. Semantic Aspects of Biomedical Analytics

      1. Multiple Inheritance Problem in Semantic Spreading Activation Networks

         • Paweł Matykiewicz, Włodzisław Duch

         Pages 252-265

      2. Ontology-Based Text Classification for Filtering Cholangiocarcinoma Documents from PubMed

         • Chumsak Sibunruang, Jantima Polpinij

         Pages 266-277

      3. An Ontology Based Knowledge Preservation Model for Traditional Unani Medicines

         • Sobia Amjad, Talha Waheed, Ana M. Martinez Enriquez, Muhammad Aslam, Afraz Syed

         Pages 278-289

   3. Healthcare Technologies and Systems

      1. A Computational Study of Robotic Therapy for Stroke Rehabilitation Based on Population Coding

         • Yuki Ueyama

         Pages 290-300

      2. Real Time SVM for Health Monitoring System

         • Fahmi Ben Rejab, Kaouther Nouira, Abdelwahed Trabelsi

         Pages 301-312

      3. Augmenting Cognitive Reserve of Dementia Patients with Brain Aerobics

         • Ahmad Zmily, Ehab Mashal

         Pages 313-322

2. Special Sessions

   1. Extracting Knowledge from Symptoms in Neurodegenerative Disease (Parkinson)

      1. Intraoperative Decision Making with Rough Set Rules for STN DBS in Parkinson Disease

         • Konrad Ciecierski, Zbigniew W. Raś, Andrzej W. Przybyszewski

         Pages 323-334

      2. The Analysis of Correlation between MOCAP-Based and UPDRS-Based Evaluation of Gait in Parkinson’s Disease Patients

         • Magdalena Lachor, Adam Świtoński, Magdalena Boczarska-Jedynak, Stanisław Kwiek, Konrad Wojciechowski, Andrzej Polański

         Pages 335-344

      3. Rough Set Rules Help to Optimize Parameters of Deep Brain Stimulation in Parkinson’s Patients

         • Artur Szymański, Andrzej W. Przybyszewski

         Pages 345-356

      4. Morphometric Basis of Depression in Parkinson’s Disease and the Possibility of Its Prediction

         • Aleksandr Efimtsev, Vladimir Fokin, Andrei Sokolov, Leonid Voronkov, Artem Trufanov

         Pages 357-365

   2. Analysis of Complex Medical Data

      1. An Approach to Detect Negation on Medical Documents in Spanish

         • Roberto Costumero, Federico Lopez, Consuelo Gonzalo-Martín, Marta Millan, Ernestina Menasalvas

         Pages 366-375

      2. Are Some Brain Injury Patients Improving More Than Others?

         • Zaigham Faraz Siddiqui, Georg Krempl, Myra Spiliopoulou, Jose M. Peña, Nuria Paul, Fernando Maestu

         Pages 376-387

      3. An Adaptive Expert System for Automated Advices Generation-Based Semi-continuous M-Health Monitoring

         • Mohamed Adel Serhani, Abdelghani Benharref, Al Ramzana Nujum

         Pages 388-399

      4. Application of Artificial Neural Networks for the Diagnosis of the Condition of the Arterio-venous Fistula on the Basis of Acoustic Signals

         • Marcin Grochowina, Lucyna Leniowska, Piotr Dulkiewicz

         Pages 400-411

   3. Understanding of Information Processing in Brain

      1. On the Statistical Performance of Connectivity Estimators in the Frequency Domain

         • Koichi Sameshima, Daniel Y. Takahashi, Luiz A. Baccalá

         Pages 412-423

      2. Causality and Influentiability: The Need for Distinct Neural Connectivity Concepts

         • Luiz A. Baccalá, Koichi Sameshima

         Pages 424-435

This book constitutes the proceedings of the International Conference on Brain Informatics and Health, BIH 2014, held in Warsaw, Poland, in August 2014, as part of 2014 Web Intelligence Congress, WIC 2014. The 29 full papers presented together with 23 special session papers were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on brain understanding; cognitive modelling; brain data analytics; health data analytics; brain informatics and data management; semantic aspects of biomedical analytics; healthcare technologies and systems; analysis of complex medical data; understanding of information processing in brain; neuroimaging data processing strategies; advanced methods of interactive data mining for personalized medicine.

• artificial neural networks
• data mining
• expert system
• machine learning
• perception

• University of Warsaw and Infobright Inc., Poland

  Dominik Ślȩzak

• School of Computer Engineering, Nanyang Technological University, Singapore

  Ah-Hwee Tan

• Computational Intelligence Laboratory, ECE Department, University of Manitoba, Winnipeg, Canada

  James F. Peters

• Institute of Computer Science, University of Rostock, Rostock, Germany

  Lars Schwabe

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