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Machine Learning for Healthcare Analytics Projects

You're reading from Machine Learning for Healthcare Analytics Projects Build smart AI applications using neural network methodologies across the healthcare vertical market

Product type Paperback

Published in Oct 2018

Publisher Packt

ISBN-13 9781789536591

Length 134 pages

Edition 1st Edition

Languages

Python

Concepts

Machine Learning

Author (1):

Eduonix Learning Solutions

View More author details

Table of Contents (7) Chapters

Preface

1. Breast Cancer Detection FREE CHAPTER

2. Diabetes Onset Detection

3. DNA Classification

4. Diagnosing Coronary Artery Disease

5. Autism Screening with Machine Learning

6. Another Book You May Enjoy

Leave a review - let other readers know what you think

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.

The rest of the chapter is locked

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