Issues in Healthcare and the Role of Machine Learning in Healthcare

Abstract

The healthcare industry is one of the world's most significant and rapidly growing sectors. As a result, healthcare administration is transitioning from conventional methods to digital ones. The transition phase of the healthcare industry is confronting several issues like as the number of medical cases is increasing, the data are also growing. This information could comprise crucial details about the patient's medical background, physicians’ recommended treatments, medical examination outcomes, etc. All these data are enormous, complex, and diversified; along with that, this data also faces issues like privacy, security, data hacking, data management, etc. To overcome these challenges, machine learning (ML) tools are used for data analysis, prediction, and classification. It is used in healthcare to classify the disease more accurately and overcome the challenges of multiple outcome optimization or sequential decision-making issues. The chapter aims to study current healthcare systems, various healthcare issues, several factors that affect healthcare, and how machine learning is employed to overcome these challenges. The role of machine learning in healthcare is critically studied.

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