COMPARISON OF DISCRIMINANT-ANALYSIS AND PROBABILISTIC EXPERT SYSTEM IN VCG DATA CLASSIFICATION

Our previous studies (Valova et al. 1992) have dealt with the possibil ities of expert system utilization for electrocardiologic data interpr etation. The results obtained in these studies provided evidence that the selected probabilistic expert system is suitable for the solution of VCG data interpretation problems. The aim of this paper was to comp are the results obtained by stepwise discriminant analysis with that o btained by a probabilistic expert system. These classification methods were applied to VCG data measured by Frank's lead system. Five groups of patients were investigated: 76 healthy subjects, 36 patients with angina pectoris, 1 12 patients with old posterior myocardial infarctio n, 107 patients with old anterior myocardial infarction and 35 patient s with old anteroseptal myocardial infarction. The classification was carried out by the leaving-one-out technique. Results of the classific ation obtained in five groups by a probabilistic expert system are evi dently better than those obtained by stepwise discriminant analysis.