Analytical Study of Systematic Predictive Model of Integral Machine Learning and Data Visualization Technologies for Modern Healthcare

Abstract

In this evolving world, machine learning and data visualization technologies are furnishing many domains worldwide including healthcare. Integrating these advance modern technologies are undoubtedly enhancing the accuracy and efficiency of predictivity analytics in modern healthcare marvelously. However, there still remains some limitations that need to be resolve for maximizing the potential of these technologies in modern healthcare. Objective of our review paper is to perform a analytical study by reviewing some recent studies regarding the utility of machine learning and data visualization in the field of healthcare and tries to address the possible research gaps that could assist researchers for carrying out further research in this area. This study also discusses the possible future trends that could probably bridge this existing research gap and can robust the use of machine learning algorithms and data visualization tools in predictivity and could create an user-friendly, scalable and trustable technological environment for individuals in healthcare sector.