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Healthcare Analytics Made Simple

You're reading from   Healthcare Analytics Made Simple Techniques in healthcare computing using machine learning and Python

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781787286702
Length 268 pages
Edition 1st Edition
Languages
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Authors (2):
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Vikas (Vik) Kumar Vikas (Vik) Kumar
Author Profile Icon Vikas (Vik) Kumar
Vikas (Vik) Kumar
Shameer Khader Shameer Khader
Author Profile Icon Shameer Khader
Shameer Khader
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Healthcare Analytics FREE CHAPTER 2. Healthcare Foundations 3. Machine Learning Foundations 4. Computing Foundations – Databases 5. Computing Foundations – Introduction to Python 6. Measuring Healthcare Quality 7. Making Predictive Models in Healthcare 8. Healthcare Predictive Models – A Review 9. The Future – Healthcare and Emerging Technologies 10. Other Books You May Enjoy

Data engineering, one table at a time with SQL

Let's now look at how to perform data engineering with SQLite. First, we have to create our tables in the database. Then, we will manipulate them, one by one, to get the desired final table.

Query Set #0 – creating the six tables

In this mock assignment, let's pretend that the portal at which the data can be downloaded from the cardiology practice is not working. Instead, one of the technicians sends you SQLite commands that you can use to create the six tables. You can follow along with the book and type each command manually. Alternatively, you can go to the book's official code repository and download the commands from there.

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