title: [Mathematical approach to the problem of early diagnosis in heart failure].
abstract: A tool set for early detection of heart failure (HF) and its criteria for mass population survey in the polyclinic setting was developed. A two-stage screening programme was carried out. At the first stage, patients with cardiac abnormalities were detected. At the second stage, the patients underwent a complex instrumental study. Fourteen most informative signs of HF were identified. A programme was developed for analysis of their baseline values and adoption of solutions by applying a procedure for inhomogeneous sequential statistic recognition, significantly promoting the diagnosis by employing diagnostic tables.
authors.forename: Ia I
authors.initials: IaI
authors.lastname: Kots
authors.forename: N F
authors.initials: NF
authors.lastname: Sermiagina
authors.forename: A K
authors.initials: AK
authors.lastname: Ekimov
mesh_terms: D000465:Algorithms; D003936:Diagnosis, Computer-Assisted; D006333:Heart Failure / Q000175:diagnosis* / Q000503:physiopathology; D006439:Hemodynamics; D006801:Humans; D013997:Time Factors
vernacular_title: Matematicheskiĭ podkhod k probleme ranneĭ diagnostiki serdechnoĭ nedostatochnosti.