Modern methods of analysis and forecasting of time series and use in medicine
The article is a review of Russian and foreign scientific publications related to the use of methods of analysis and
forecasting of time series in medicine. 112 major publications over the past 5 years, located on the Internet resources e-library
and PubMed, are considered. Examples of the application of such methods as exponential smoothing, regression analysis,
the ARIMA method and their variants for time series analysis are shown. Various approaches to mathematical modeling of
the time series are presented. The results of the article can be used to select a method of analysis and forecasting time series
depending on the tasks.
Artificial intelligence in health care