title: [Methods of designing a prognostic system, regression models and risk scale in the surgical treatment of cholelithiasis].
abstract: An automated assessment of the results of treatment and prediction of a course of the postoperative period was performed in 218 patients with cholelithiasis by means of ES computer according to 100 parameters. Five statistic packs of the application programs (VMDR-75 version) were used. Cluster-analysis, factor analysis and a method of the main components were employed. Four most essential risk factors were distinguished, the regressive models of a postoperative period obtained. This permitted to choose the most rational method for treatment.
authors.forename: V N
authors.initials: VN
authors.lastname: Vecherko
authors.forename: V V
authors.initials: VV
authors.lastname: Khatsko
authors.forename: Ia G
authors.initials: IaG
authors.lastname: Kolkin
authors.forename: S V
authors.initials: SV
authors.lastname: Zorina
authors.forename: A D
authors.initials: AD
authors.lastname: Shatalov
mesh_terms: D002769:Cholelithiasis / Q000601:surgery*; D016000:Cluster Analysis; D001330:Electronic Data Processing; D006801:Humans; D016014:Linear Models; D011184:Postoperative Period; D011379:Prognosis; D012044:Regression Analysis; D012307:Risk Factors; D012984:Software
vernacular_title: Metodika postroeniia prognosticheskoĭ sistemy, regressionnykh modeleĭ i shkaly riska v khirurgichedskom lechenii zhelchnokamennoĭ bolezni.