Skip to Main Content
Supervised and Unsupervised Data Engineering for Multimedia Data
book

Supervised and Unsupervised Data Engineering for Multimedia Data

by Suman Kumar Swarnkar, J. P. Patra, Sapna Singh Kshatri, Yogesh Kumar Rathore, Tien Anh Tran
May 2024
Beginner to intermediate content levelBeginner to intermediate
336 pages
8h 29m
English
Wiley-Scrivener
Content preview from 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 ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision

Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision

Donald J. Norris
Fog Computing for Intelligent Cloud IoT Systems

Fog Computing for Intelligent Cloud IoT Systems

Chandan Banerjee, Anupam Ghosh, Rajdeep Chakraborty, Ahmed A. Elngar

Publisher Resources

ISBN: 9781119786344Purchase Link