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- W155229672 abstract "Aim of study is to develop advanced pattern recognition method based on current density distribution (CDD) maps. Sets of typical maps within ST-T interval of healthy volunteers, patients with CAD, myocarditis and maps with high level of noise were selected. These images were classified with help of information-extreme intellectual technology (IEIT) based on Kullback measure in parametric Hemming space. Faultless error-free decision rules were obtained in learning population. Decision rule was examined by test Healthy–CAD. Examination group consisted of 203 healthy volunteers and 256 CAD pts. Sensitivity and specificity equal to 93% and 87 %, respectively, have been achieved." @default.
- W155229672 created "2016-06-24" @default.
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- W155229672 date "2010-01-01" @default.
- W155229672 modified "2023-09-27" @default.
- W155229672 title "Development of Pattern Recognition Method for Diagnosis of Myocardial Ischemia and Noncoronarogenic Myocardial Diseases Based on Current Density Distribution Maps" @default.
- W155229672 doi "https://doi.org/10.1007/978-3-642-12197-5_101" @default.
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