Background. The role of genetic factors in the predisposition to develop ischemic stroke has been assessed by previous studies. The main goal of the current study was to determine any possible role of TNF-857C>T,TNFRSF1A36A>G, and TNFRSF1B676T>G polymorphisms in risk for stroke. Materials and Methods. One hundred seventy-three patients with first ever… (More)
In this work we present the application of inductive machine learning techniques in medical diagnosis of stroke. Our approach uses See5 algorithm-an updated version of the well known C4.5 (Quinlan J.R., 1993)-which is capable of ''learning from examples'' by constructing a decision tree which can be transformed to IF/THEN rules.
Knowledge acquisition techniques investigate ways to pick up information about the way that medical experts work and decide in order to resemble their behaviour and assist them in analysing a patient's condition. Available data can sometimes be complicated and by representing them in crisp or nominal values the diagnosis scheme loses in terms of… (More)
The purpose of this work is to test the efficiency of specific intelligent classification algorithms when dealing with the domain of stroke medical diagnosis. The dataset consists of patient records of the " Acute Stroke Unit " , Alexandra Hospital, Athens, Greece, describing patients suffering one of 5 different stroke types diagnosed by 127 diagnostic… (More)