[Book] Call for chapters: Data Mining and Healthcare Knowledge Management
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[German title: Aufruf für Buch-Beiträge: Datamining und Wissensmanagement in der Medizin]

CALL FOR CHAPTERS – deadline extension
Data Mining and Medical Knowledge Management: Cases and Applications

a book to be published by IGI Global Inc. (www.igi-pub.com)

The deadline for chapters proposals has been extended to July, 20.

editors:

  • prof. Petr Berka University of Economics, Prague & Centre of Biomedical Informatics, Institute of Computer Science, Prague, Czech Republic
  • prof. Jan Rauch, University of Economics, Prague & Centre of Biomedical Informatics, Institute of Computer Science, Prague, Czech Republic
  • prof. Djamel Abdelkader Zighed, University Lumiere Lyon 2, France

Healthcare industry produces constantly growing amount of data. There is however also growing awareness of potential hidden in these data. It becomes widely accepted that health care organizations cane benefit in various ways from deep analysis of data stored in their databases. It results into numerous applications of various data mining tools and techniques. The analyzed data are in different forms covering simple data matrices, complex relational databases, pictorial material, time series etc. Efficient analysis requires knowledge not only of data analysis techniques but also involvement of medical knowledge and close cooperation between data analysis experts and physicians. The mined knowledge can be used in various areas of health care covering research, diagnosis and treatment. It can be used both by physicians and as a part of AI-based devices like expert systems.

The focus of the book is on challenges, applications and lessons learned from data mining approaches and knowledge management in medical domain. Topics of interest include, but are not limited to the following:

  • Feature selection
  • Association rules approach
  • Classification and prediction
  • Induction graphs and related methods
  • Validation techniques
  • Mining complex medical data
  • Using ontologies in medical data mining
  • Lessons learned from successful data mining applications in medicine
  • Building expert or decision support systems using machine learning
  • Knowledge acquisition and knowledge modeling in medicine
  • Integration of knowledge from different sources (experts, data)
  • Medical knowledge management

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Comments

[Book] Call for chapters: Data Mining and Healthcare Knowledge Management — 1 Comment

  1. Reference:
    Berka, P. et al. (Eds.): Data Mining and Medical Knowledge Management: Cases and Applications. IGI-Global, 2009. 464 pages, ISBN13: 9781605662183, ISBN10: 1605662186, EISBN13: 9781605662190

    Description:
    The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment.

    Data Mining and Medical Knowledge Management: Cases and Applications presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.

    » To the publisher’s website of the book

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