Logical and Statistical Analysis of Relationship Between Clinical and Laboratory Indices and Disturbances of Cerebral Blood Circulation in Elderly Patients with Chronic Ischemia of the Brain

A. V. Kuznetsova ; I. V. Kostomarova ; O. V. Senko

Matematičeskaâ biologiâ i bioinformatika, Tome 8 (2013) no. 1, pp. 182-224.

Résumé

The paper presents results of studies, aimed to asses relation between a set of clinical and laboratory indices and risk of transient ischemic attacks (TIA) and ischemic stroke in patients from elder age groups with chronic cerebral ischemia (CCI). The studies were based on pattern recognition techniques and data mining method implementing optimal statistically valid partitioning of feature space. The risk factors of transient ischemic attack were found: lipidic spectrum, blood cell counts, biochemical indices, type of hyperlipidemia, II-III stages of CCI, left ventricular hypertrophy by electrocardiogram, ultrasonic scanning features of thyroid diffusive changes. It was found that exactness of TIA prediction with the help of pattern recognition techniques achieves 81.5% if all features forming basic regularities are used. In patients that previously suffered from TIA set of risk factors for further ischemic stroke includes: CHD with ciliary arrhythmia, breaks of rhythm, hyperglycemia. Forecasting ability of pattern recognition technique is 77%.

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