A REVIEW ON MACHINE LEARNING APPROACHES IN HEALTH CARE AND CLINICAL MANAGEMENT

Abstract

Macahine Learning has become a critical tool in daily life, or more precisely, it has become a potent tool in the majority of areas that we want to automate. Machine Learning is used to create algorithms that can learn from labelled or unlabelled data, as well as from their surroundings. Machine learning is utilised in a wide variety of areas, but particularly in the health care industry, where it provides much greater advantages via appropriate decision- and prediction-making methods. Because machine learning in health care is a scientific study, we must save, retrieve, and make appropriate use of information, data, and knowledge in order to solve issues in the healthcare sector and also to make sound decisions. Due to these innovations, the health care industry has seen tremendous growth throughout the years. Medical professionals analyse medical data using machine learning tools and methods to detect hazards and offer appropriate diagnosis and treatment. The article is based on a study of health care management systems and makes use of a variety of machine learning methods and techniques.