Fundamentals and Methods of Machine and Deep Learning

6Use of Machine Learning and Deep Learning in Healthcare—A Review on Disease Prediction System

Radha R.¹* and Gopalakrishnan R.²

¹Anna University, Chennai, Tamil Nadu, India

²K. S. Rangasamy College of Technology, Tiruchengode, Tamil Nadu, India

Abstract

The practice of adapting Machine Learning (ML) and Deep Learning (DL) methodologies for the exploration and identification of biomedical and health related issues has established unmatched response in the last few decades. A number of unearthing features that are meaningful are being recorded using these branches of Artificial Intelligence (AI) to achieve the difficult tasks that stood as challenge to human experts. The treatment processes, the devices used in treating patients, and the applications used are all capable in generating alarming amount of information. These information are technical data in the form of images, graph, test, and audio files; processing and getting the valuable insights from these data is a tedious task. The invention of ML and, lately, DL have paved way to access and analyze these data from the big data era in a smooth manner to predict, diagnose, and treat diseases effectively to save valuable lives of millions. DL, which has deeper (or more) hidden layers cascaded functions of similar quality, forms a network that is capable enough to dissect any magnetic resonance image in faster and accurate manner. The chapter discusses the basics related to DL and Ml methodologies and the related works where ...