Conference programme

6th International Conference on Information Technology in Bio- and Medical Informatics (ITBAM 2015 )

     
    September 3, 2015
    11:30 - 12:00

    Coffee break

     
    September 3, 2015
    12:00 - 13:00

    Keynote Talk

    Location : 1 (Lecture Hall 1)

    Session Chair : Hendrik Decker

  • "Pattern Recognition in Embedded Systems: an Overview"

    Juan-Carlos Perez-Cortes, Universidad Politecnica de Valencia (UPV), Spain


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    September 3, 2015
    13:00 - 14:30

    Lunch

     
    September 3, 2015
    14:30 - 15:00

    ITBAM - Poster Session (Moderated)

    Location : 6 (Lecture Hall 6)

  • Microsleep classifier using EOG channel recording: a feasibility study

    Martin Holub, Martina Šrutová, Lenka Lhotská


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    September 3, 2015
    15:00 - 16:00

    ITBAM - Session 1 : Medical Terminology and Clinical Processes

    Location : 6 (Lecture Hall 6)

    Session Chair : Frantisek Babic

  • From Literature to Knowledge: exploiting PubMed to Answer Biomedical Questions in Natural Language
    Pinaki Bhaskar, Marina Buzzi, Filippo Geraci, Marco Pellegrini

  • Using Twitter data and sentiment analysis to study diseases dynamics
    Alessandro Longheu, Vincenza Carchiolo, Michele Malgeri

  • An Open Data Approach for Clinical Appropriateness
    Mario Bochicchio, Lucia Vaira, Marco Zappatore, Giambattista Lobreglio, Marilena Greco

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    September 3, 2015
    16:00 - 16:30

    Coffee break

     
    September 3, 2015
    16:00 - 18:30

    ITBAM - Session 2 : Machine Learning in Biomedicine

    Location : 6 (Lecture Hall 6)

    Session Chair : Lucia Vaira

  • A logistic regression approach for identifying hot spots in protein interfaces
    Keun Ho Ryu, Peipei Li

  • The Discovery of Prognosis Factors using Association Rule Mining in Acute Myocardial In-farction with ST-segment elevation
    Ryu KwangSun, Park HyunWoo, Park SooHo, Ishag IbrahimMusa, Bae JangHwan, Ryu KeunHo

  • Data Mining Techniques in Health Informatics: A Case Study from Breast Cancer Research
    Jing Lu, Alan Hales, David Rew, Malcolm Keech, Christian Fröhlingsdorf, Alex Mills-Mullett, Christian Wette

  • Artificial Neural Networks in Diagnosis of Liver Diseases
    José Maia Neves, Adriana Cunha, Ana Almeida, André Carvalho, João Neves, António Abelha, José Machado, Henrique Vicente

  • How to increase the effectiveness of the hepatitis diagnostics by means of appropriate machine learning methods
    Alexandra Lukacova, Frantisek Babic, Zuzana Paralicova, Jan Paralic

  • Ant-inspired Algorithms for Decision Tree Induction: An Evaluation on Biomedical Signals
    Miroslav Bursa, Lenka Lhotska