MACHINE LEARNING MODEL FOR FINANCIAL FORECASTING USING THE MILITARY HEALTHCARE AS AN EXAMPLE

Abstract

Predicting future events through the analysis of historical data poses a challenge for
decision makers. In this paper, the authors investigate the possibility of machine
learning application by solving a regression problem for prediction from time series
data of the military healthcare costs in the Republic of Serbia. The present research aims
to determine the possibilities of using artificial intelligence in financial forecasting, as
well as to select, based on the research results, the most reliable model which, taking
into account the relationships between the historical data of the planning subject and
the market economic conditions in the observed period, will provide relevant data for
future decisions.