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A Systematic Literature Review of Data Mining Applications in Healthcare

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Web Information Systems Engineering – WISE 2013 Workshops (WISE 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8182))

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Abstract

Data mining transforms clinical data into a new knowledge, providing novel highlights to the clinicians and to the patients. The semi-automated systematic literature review has been performed, utilizing semantic abstraction of MeSH controlled vocabulary. Publications indexed in Medline for the whole available period of time has been grouped by PubMed annotated MeSH terms. The trends of data mining related publications and public interest trends in the Data Mining topic is compared. Conclusions on the prevalence of topics, medical disciplines, data mining methods are provided and discussed.

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Author information

Authors and Affiliations

  1. Institute of Mathematics and Informatics, Vilnius University, Akademijos str. 4, LT-08663, Vilnius, Lithuania

    Olegas Niaksu & Jolita Skinulyte

  2. GmbH, AME International, Hoyossgasse 5, Vienna, 1040, Austria

    Hermine Grubinger Duhaze

Authors
  1. Olegas Niaksu
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  2. Jolita Skinulyte
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  3. Hermine Grubinger Duhaze
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Editor information

Editors and Affiliations

  1. Vrije University of Amsterdam, De Boelelaan 1081, 1081, Amsterdam, The Netherlands

    Zhisheng Huang

  2. Faculty of Information and Communication Technologies, Swinburne University of Technology, PO Box 218, 3122, Melbourne, VIC, Australia

    Chengfei Liu

  3. College of Engineering and Science, Victoria University, PO Box 14428, 8001, Melbourne, VIC, Australia

    Jing He

  4. Centre for Applied Informatics, Victoria University, PO Box 14428, 8001, Melbourne, VIC, Australia

    Guangyan Huang

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Niaksu, O., Skinulyte, J., Duhaze, H.G. (2014). A Systematic Literature Review of Data Mining Applications in Healthcare. In: Huang, Z., Liu, C., He, J., Huang, G. (eds) Web Information Systems Engineering – WISE 2013 Workshops. WISE 2013. Lecture Notes in Computer Science, vol 8182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54370-8_27

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  • DOI: https://doi.org/10.1007/978-3-642-54370-8_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54369-2

  • Online ISBN: 978-3-642-54370-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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