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Kardiologiia ; 31(3): 29-32, 1991 Mar.
Article in Russian | MEDLINE | ID: mdl-1875593

ABSTRACT

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.


Subject(s)
Algorithms , Hemodynamics/physiology , Models, Cardiovascular , Myocardial Infarction/rehabilitation , Work Capacity Evaluation , Adult , Humans , Male , Mathematics , Middle Aged , Myocardial Infarction/physiopathology , Myocardial Infarction/therapy , Prognosis , Time Factors
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