A study on impact of ageing population on Singapore healthcare systems using machine learning algorithms

Girija Periyasamy, Easwaramoorthy Rangaswamy and Uma Rani Srinivasan

World Review of Entrepreneurship, Management and Sustainable Development, 2023, vol. 19, issue 1/2, 47-70

Abstract: Ageing population has been identified as a key issue for healthcare because of its adverse impact on ageing and facilities of healthcare systems. The study is focused on ageing population which has been having widespread consequences in Singapore context. Review of the healthcare systems was done as the gap revealed the need to address the objectives of the study which is to evaluate the various improvements of healthcare systems in Singapore with respect to the ageing population requirements and analyse the various factors related to ageing population that influences the healthcare systems in Singapore. Analysis included ANOVA, Correlation, along with Machine Learning Algorithms like Decision Tree, Support Vector Machine and Logistic Regression. The results, discussions along with findings are also provided with links to the literature and research objectives. Suggestions were provided for various healthcare systems initiatives and needs that are required to transform to cope with ageing population.

Keywords: ageing; healthcare; healthcare systems; healthcare facilities; machine learning. (search for similar items in EconPapers)
Date: 2023
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