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MATLAB for Machine Learning

You're reading from  MATLAB for Machine Learning

Product type Book
Published in Aug 2017
Publisher Packt
ISBN-13 9781788398435
Pages 382 pages
Edition 1st Edition
Languages
Authors (2):
Giuseppe Ciaburro Giuseppe Ciaburro
Profile icon Giuseppe Ciaburro
Pavan Kumar Kolluru Pavan Kumar Kolluru
Profile icon Pavan Kumar Kolluru
View More author details
Toc

Table of Contents (17) Chapters close

Title Page
Credits
Foreword
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Getting Started with MATLAB Machine Learning 2. Importing and Organizing Data in MATLAB 3. From Data to Knowledge Discovery 4. Finding Relationships between Variables - Regression Techniques 5. Pattern Recognition through Classification Algorithms 6. Identifying Groups of Data Using Clustering Methods 7. Simulation of Human Thinking - Artificial Neural Networks 8. Improving the Performance of the Machine Learning Model - Dimensionality Reduction 9. Machine Learning in Practice

Classifying thyroid disease with a neural network


Thyroid activity has many effects in our body. For example, the thyroid gland regulates metabolism and controls very important functions such as heart rate, nervous system development, body growth, muscular strength, sexual function, and more. Because of the central role of the thyroid in regulating bodily metabolism, when this gland does not work properly, the whole body suffers.

The causes of thyroid dysfunction can be many. First of all, your thyroid may increase or slow down your activity, producing excess or defective hormones over the actual body needs. These conditions are called hyperthyroidism (that is, an excessive production of thyroid hormones) and hypothyroidism (which is the opposite condition in which there is a deficiency of thyroid hormones).

In this study, we want to create a model that allows us to classify thyroid disease according to patient data. We begin, as always, by getting the data to be analyzed. This time we will...

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