Petra Povalej

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INTRODUCTION The aggressive rate of growth of disk storage and, thus, the ability to store enormous quantities of data have far outpaced our ability to process and utilize that. This challenge has produced a phenomenon called data tombs—data is deposited to merely rest in peace, never to be accessed again. But the growing appreciation that data tombs(More)
Alcohol dependence syndrome is hard to diagnose because none of the existing laboratory markers alone has sufficient specificity and sensitivity. This study investigated whether combinations of markers would improve the identification of patients with alcohol dependence syndrome. Intelligent data analysis was carried out using the decision tree induction(More)
Coronary artery disease is one of the most frequent causes of premature deaths in Slovenia and also in most countries in the world. A " gold standard " for treatment of left main coronary artery (LMCA) stenosis is still a surgical therapy; however Percutanueous Transluminal Coronary Angioplasty (PTCA) is much simpler for the patients and gives comparable(More)
E-learning is becoming an important part of education and it can provide new possibilities for disabled people. Critical evaluation is becoming indispensable, especially in e-learning systems supporting disabled people, as very little has been done in this area. This paper describes the development of adapted pedagogical index (AdaPI), which demonstrates(More)
In the recent years intelligent systems proved to be a useful and successful tool which has often been used for decision support, data mining and knowledge discovery in medicine. Data mining and knowledge discovery enable to prove existing hypothesis or to generate new ones – thus they in longer term support the advancement of medicine as a scientific(More)
In this paper we present a multimethod approach for induction of a specific class of classifiers, which can assist physicians in medical diagnosing in the case of mitral valve prolapse. Mitral valve prolapse is one of the most controversial prevalent cardiac condition and may affect up to ten percent of the population and in the worst case results in sudden(More)
Invasive medical examinations (like blood examination) are often rather unpleasant especially for children. Therefore an attempt was made to find a non-invasive method for determining the level of blood lipids in children. With that goal in mind two different machine learning methods were used on the database of five-year old children. The results gained(More)
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