Department of Health Science and medicine, Rwanda
Short Communication
Application of Machine learning in long term healthcare cost prediction
Author(s): Sylvan Ntivuguruzwa*
Through the years, health expenditures have been increasing among developed and
developing coun-tries. Specifically, total health expenditure in Rwanda, has experienced
an increasing trend, for exam- plea the total health expenditure in Rwanda was 282929;
329526 and 324385 million Rwandan francs in 2016 ; 2017 and 2018 respectively and
the rise in healthcare expenditures need a rational and equity management to better
provide health services efficiently and effectively. The ARIMA model has been the
preferred model to forecast health expenditures for decades which later have been
criticized to not capture the non-linear behavior in data. Moreover, two decades ago,
the artificial neural networks (ANNs) models have got attention and improved the
forecasting accuracy. However, it has been found that each of the two models has
weaknesses when linear and nonlin.. View More»
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