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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

Starting an SQLite session

The database engine we will use to transform our database is SQLite. In Chapter 1, Introduction to Healthcare Analytics, we went over installation instructions as well as basic SQLite commands. It should be mentioned that SQL comes in many variants, and the SQL specific to SQLite has minor differences to that specific to MySQL or SQL Server databases. However, the underlying principles remain constant across all SQL dialects.

At this time, do the following:

  1. Navigate to the directory containing the sqlite3.exe program in your shell or command prompt (using the cd command).
  2. Type sqlite3 mortality.db and press Enter. You should see a prompt that looks like the following: sqlite>. This prompt indicates that you are in the SQLite program.
  3. Throughout the remainder of this chapter, we are going to create some tables and execute some SQLite commands on them...
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