Supervised and Unsupervised Data Engineering for Multimedia Data

11A Python-Based Machine Learning Classification Approach for Healthcare Applications

Vishal Sharma

Birla Institute of Technology and Science, Pilani, India

Abstract

Machine learning (ML) approaches have been an important technique in various applications. To know a possible future illness by deploying particular health data has represented a vibrant area for these applications. This chapter investigates the important patterns of different ML classification techniques, and its ability and application in discovering future illness. In addition, this chapter aims to perform an effective ML classification method that can effectively tell the symptoms of illness of a person, based on the received symptoms from the model under development. Let us go through in detail how we can develop such a machine learning model.

Keywords: Machine learning, healthcare, classification, Gaussian Naive Bayes, support vector machine (SVM)

Introduction

Machine learning algorithms deploy numerous mathematical techniques to train from previous available data and find out meaningful insights from enormous, unstructured and complex data sets [1]. These ML techniques have various applications, covering text categorization [2], anomaly detection [3], e-mail filtration [4], credit card fraud prevention [5], detection of the customer purchase behavior [6], manufacturing optimization process [7] and modelling for a particular illness [8]. Many of these use cases have been performed using supervised learning ...