Identifying patients with familial hypercholesterolemia using data mining methods in the Northern Great Plain region of Hungary.

Journal: Atherosclerosis
PMID: 30270056

Abstract

BACKGROUND AND AIMS: Familial hypercholesterolemia (FH) is one of the most frequent diseases with monogenic inheritance. Previous data indicated that the heterozygous form occurred in 1:250 people. Based on these reports, around 36,000-40,000 people are estimated to have FH in Hungary, however, there are no exact data about the frequency of the disease in our country. Therefore, we initiated a cooperation with a clinical site partner company that provides modern data mining methods, on the basis of medical and statistical records, and we applied them to two major hospitals in the Northern Great Plain region of Hungary to find patients with a possible diagnosis of FH.

Authors

  • György Paragh
    Department of Internal Medicine, University of Debrecen Faculty of Medicine, Debrecen, Hungary. Electronic address: paragh@belklinika.com.
  • Mariann Harangi
    Department of Internal Medicine, University of Debrecen Faculty of Medicine, Debrecen, Hungary.
  • Zsolt Karányi
    Department of Internal Medicine, University of Debrecen Faculty of Medicine, Debrecen, Hungary.
  • Bálint Daróczy
    Institute for Computer Science and Control (MTA SZTAKI), Hungarian Academy of Sciences, Budapest, Hungary.
  • Ákos Németh
    Aesculab Medical Solutions, Black Horse Group Ltd., Debrecen, Hungary.
  • Péter Fülöp
    Department of Internal Medicine, University of Debrecen Faculty of Medicine, Debrecen, Hungary.

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