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Machine Learning for Healthcare Analytics Projects

You're reading from Machine Learning for Healthcare Analytics Projects

Product type Book

Published in Oct 2018

Publisher Packt

ISBN-13 9781789536591

Pages 134 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Table of Contents (7) Chapters

Preface

1. Breast Cancer Detection

2. Diabetes Onset Detection

3. DNA Classification

4. Diagnosing Coronary Artery Disease

5. Autism Screening with Machine Learning

6. Another Book You May Enjoy

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Summary

In this chapter, we were able to predict whether or not a short sequence of E.coli bacteria DNA was a promoter or a non-promoter with 96% accuracy. We looked at how to import data from a repository, and how to convert textual input to numerical data. We then built and trained classification algorithms and compared and contrasted them by using the classification report.

In the next chapter, we will learn about diagnosing coronary artery disease.

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