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.
2017 № 3 Prospects for neural networks and deep machine learning in creating health solutions
The paper gives an overview of the prospects of using neural networks and deep machine learning in the creation of artificial intelligence systems for healthcare. The definition and explanations on the technologies of machine learning and neural networks are given. The review of already implemented artificial intelligence projects is presented, as well as the forecast of the most promising directions of development in the near future