Determination of risk factors of cardiovascular mortality in institutions of the penitentiary system using the machine learning methods.

Published: 2017-05-29

    Artificial intelligence in health care
  • The article presents the results of the first clinical and epidemiological studies to identify risk factors for fatal cardiovascular disease in patients of medical institutions of the penitentiary system. In a research the Machine learning methods based on creation of optimal partitioning signs space and recognition methods were applied. It is with high reliability has allowed to determine predictive factors of hospital mortality in cardiac patients, which became: the use of a strong tonic drink «chifir», age, weight, growth, systolic and diastolic blood pressure, hemoglobin level, heart rate, left ventricular ejection fraction, end-systolic and end-diastolic left-ventricular dimension, hypertension and the number of criminal record.

    Authors: Dyuzheva E. V. [2] Kuznetsova A. V. [1] Senko. O. V. [1]

    Tags: cardiovascular disease1 machine learning2 methods of optimal partitioning1 recognition1 the penitentiary system1

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