V. Klyuzhev, V. Ardashev, S. Glukhova, V. Sablin, and A Tarasov (Russia)
Computer prediction, physician's knowledge modeling, myocardial infarction, control of the rehabilitation efficiency.
The overall purpose of this study is to develop a method for modeling physician's knowledge: to predict the myocardial infarction complications, to select and formalize an optimal treatment tactics. The obtained complication models of myocardial infarction according to its clinical expression were combinations of the symptoms of four main symptom-complexes. The clinical interpretation of prediction complication models of the myocardial infarction did not represent particular difficulties for the physicians, as the models could be described by using common medical terms, that made their understanding easy. The prediction results served as a base for mathematical assessment of gravity of the myocardial infarction by means of computing the prediction gravity index (PGI) of the patient. By changing the value bounds of PGI, it is possible to form patient groups, which differ by the degree of risk of lethality prediction gravity categories (PGC). In our forecasting model PGC is one of the final purposes of prediction, allowing the physician to select the tactics of treatment and physical rehabilitation of the patients with Q myocardial infarction.
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