Introduction to Healthcare Information Management and Machine Learning

Abstract

Health information management deals with the collection, storing, analysis, and management of health data. It consists of various fields such as computer science, information science, information management, medicinal, business and data analytics. Machine Learning (ML) in healthcare evolving as an emerging field for healthcare industry. They help in analyzing the health data more effectively and timely. ML is one of the vital regions in the field of software engineering. It gives a streamlined answer for this present reality issues by utilizing past learning or past experience information. There are distinctive kinds of machine learning calculations present in software engineering. This chapter gives the outline of some chosen machine learning methods, for direct relapse, straight discriminant examination, bolster vector machine, innocent Bayes classifier, neural systems, and choice trees. Every one of these techniques is described in detail, which thus helps the reader to create our own answers for the given issues.