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.
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