title: [An information model as a method of mathematical processing of clinical material (chronic bronchitis as illustration)].
abstract: OBJECTIVE
  To design information clinical-prognostic formalized model of chronic bronchitis (CB).
  
  
  METHODS
  The study of clinicofunctional, immunometabolic manifestations in CB remissions in 1135 CB patients and genealogical study of 24 families in three generations (83 persons) were performed. Clinical, functional, biochemical, immunological examinations were made.
  
  
  RESULTS
  An algorithm of information model of CB consisting of 5 principal steps and technology of information processing of clinical material are proposed. A data matrix was developed in the form of blocks (passport data, former life style, complaints, disease history, characteristics of objective status, functional, clinical, biochemical, immunological parameters) and information analysis was made using a selected mathematical method (correlation, cluster, factorial, regression analyses).
  
  
  CONCLUSIONS
  The proposed methodological approach allows assessment of interaction of such factors as heredity, environment, life style and their effect on CB risk, clinical picture, course; design of program of primary and secondary prophylaxis and assessment of treatment efficacy.
authors.forename: N S
authors.initials: NS
authors.lastname: Zhuravskaia
mesh_terms: D000465:Algorithms; D029481:Bronchitis, Chronic / Q000175:diagnosis* / Q000235:genetics; D005260:Female; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D011379:Prognosis