2017 № 2 Determination of risk factors of cardiovascular mortality in institutions of the penitentiary system using the machine learning methods.
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.
2016 № 2 Information and analytical system of monitoring of the cardiological care in penal institutions of Russia
The article describes a new software product that allows real-time to assess the readiness of medical units to provide primary pre-hospital, and specialized medical care to patients with cardiovascular diseases. The system allows for the collection, storage, analysis and visualization of information.