Mechanisms and pathogenesis of cardiovascular complications of cancers in relation to circadian rhythms. The identification of desynchronization of body rhythms was carried out using
correlation-regression analysis Comparative Analysis of Machine Learning Methods for Prediction of Heart Diseases and their parameters were conducted. Based on the comparative
analysis, the models and methods of machine learning were
Регрессионный анализ в прогнозировании стоимости коллекционных монет the use of
regression analysis to predict the value of collectible coins.The use of the linear
regression The cervical blood flow parameters with the best correlation fromarterial blood pressure in hypertension cases
confirmation of the existence of a
correlation by
correlational analysis, the least square method was
applied