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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

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789536591
Length 134 pages
Edition 1st Edition
Languages
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Author (1):
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Eduonix Learning Solutions Eduonix Learning Solutions
Author Profile Icon Eduonix Learning Solutions
Eduonix Learning Solutions
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Toc

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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