title: [Possibilities of predicting the outcome of diseases after cardiosurgical interventions].
abstract: A multifactorial correlation and regression analysis with the use of a pack of applied programs "SAND" in the computer SM-4 was performed for prognosis of the outcome of the disease in 38 patients with acquired heart diseases operated upon under conditions of extracorporeal circulation. A linear mathematical model was obtained which allowed predicting the course of the postoperative period and outcome of the disease of cardio-surgical patients with 70-80% probability.
authors.forename: Iu L
authors.initials: IuL
authors.lastname: Shevchenko
authors.forename: N N
authors.initials: NN
authors.lastname: Shikhverdiev
authors.forename: A V
authors.initials: AV
authors.lastname: Otochkin
authors.forename: G G
authors.initials: GG
authors.lastname: Khubulava
authors.forename: S A
authors.initials: SA
authors.lastname: Matveev
mesh_terms: D000293:Adolescent; D000328:Adult; D001022:Aortic Valve Insufficiency / Q000601:surgery*; D006801:Humans; D008432:Mathematical Computing; D008875:Middle Aged; D008944:Mitral Valve Insufficiency / Q000601:surgery*; D008955:Models, Cardiovascular; D011183:Postoperative Complications / Q000209:etiology*; D011336:Probability; D011379:Prognosis; D012044:Regression Analysis
vernacular_title: Vozmozhnosti prognozirovaniia iskhoda zabolevaniĭ pri kardiokhirurgicheskikh vmeshatel'stvakh.