Universalising Leading Healthcare Budgeting Systems by Applying Supervised Machine Learning Through Integrating Recurrent Neural Networks

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  Abstract: Globally, inadequate healthcare funding has catalysed severe effects, demonstrating the extensive issues raised by inefficient spending. Consequently, this study’s principal objective is to universalise leading health care systems by examining different countries’ data, such as population and number of hospital beds, with linear regression analysis. This research focuses on extrapolating the funding principles […]