The analysis of the effects of acute rheumatic fever in childhood on cardiac disease with data mining

EMRE İ. E., EROL N., AYHAN Y. I., Özkan Y., Erol C.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, cilt.123, ss.68-75, 2019 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 123
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1016/j.ijmedinf.2018.12.009
  • Dergi Adı: INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.68-75
  • Anahtar Kelimeler: Data mining, Machine learning, Classifying methods, Naive bayes, C5.0, CART, Random forest, Acute rheumatic fever, Acute rheumatic fever in childhood, ARF, KNOWLEDGE
  • İstanbul Üniversitesi Adresli: Evet

Özet

Background: Acute rheumatic fever (ARF) is an important disease that is frequently seen in Turkey, it is necessary to develop solutions to cure the disease. It is believed that new data analysis methods may be applied to this disease, and this may be useful to discover previously unrecognized patterns. Data mining of existing records and data repositories may improve knowledge on the diagnosis and management of ARF. In this regard, we planned to make a contribution to the development of new solutions by approaching the problem from a different standpoint.