Journal of Applied Computer Science & Mathematics (Jan 2009)

Using Machine Learning Algorithms in Cardiovascular Disease Risk Evaluation

  • D. A. Sitar-Taut,
  • D. Pop,
  • D. Zdrenghea,
  • A. V. Sitar-Taut

Journal volume & issue
Vol. 3, no. 5
pp. 29 – 32

Abstract

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Even if Medicine and Computer Science seemapparently intangible domains, they collaborate each otherfor few decades. One of the faces of this cooperation is DataMining, a relative new and multidisciplinary field capable toextract valuable information from large sets of data. Despitethis fact, in cardiology related studies it was rarely used. Weassume that some data mining tools can be used as asubstitute for some complex, expensive, uncomfortable, timeconsuming, and sometimes dangerous medical examinations.This paper aims to show that cardiovascular diseases may bepredicted by classical risk factors analyzed and processed ina “non-invasive” way.

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