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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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
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