[Modeling the effectiveness of the rehabilitation treatment of patients in the post-infarction period].
A two-year follow-up of 400 patients with prior myocardial infarction and usage of regression and discriminant analysis algorithms provided a number of linear models to predict changes in the patients' working capacity over the observed period. A variety of models depending on the feasibility of a laboratory to apply instrumental tools for examination suggested their wide utilization. The advantage of the models is that a small set of signs is used, no computer engineering is required. The models may be used in patients with different clinical disease (uncomplicated, repeated or cardiac aneurysm-complicated myocardial infarction). The modelling provided accurate prediction at 84-100% levels.
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D000328:Adult; D000465:Algorithms; D006439:Hemodynamics / Q000502:physiology*; D006801:Humans; D008297:Male; D008433:Mathematics; D008875:Middle Aged; D008955:Models, Cardiovascular; D009203:Myocardial Infarction / Q000503:physiopathology / Q000534:rehabilitation* / Q000628:therapy; D011379:Prognosis; D013997:Time Factors; D014938:Work Capacity Evaluation
Modelirovanie éffektivnosti vosstanovitel'nogo lecheniia bol'nykh, perenesshikh infarkt miokarda.