| Literature DB >> 6222129 |
J A Milliken, H Pipberger, H V Pipberger, M A Araoye, R Ari, G W Burggraf, R D Fletcher, R J Katz, E A Lopez, J L McCans, A M Silver.
Abstract
Nine experienced electrocardiographers and the ECG computer program developed in the Veterans Administration (AVA 4.0) were evaluated against ECG-independent evidence of 180 patients' true diagnoses. A cross section of cardiac abnormalities was included. Each reader was given the 12-lead and orthogonal 3-lead ECG. The impact of ECG computer reports on the interpretations by the nine readers was evaluated by comparing their interpretations before and after the addition of a computer report. Using only high probability statements, the average accuracy of ECG diagnosis by the nine readers was 54%. It increased to 62% when the computer report was added. Computer interpretation was correct in 76%. It was shown that the Bayesian classification method together with multivariate analysis, used in the VA program, are mainly responsible for the improvement in diagnostic accuracy.Entities:
Mesh:
Year: 1983 PMID: 6222129 DOI: 10.1016/s0022-0736(83)80018-1
Source DB: PubMed Journal: J Electrocardiol ISSN: 0022-0736 Impact factor: 1.438