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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 2. Healthcare Foundations FREE CHAPTER 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

Introduction to Healthcare Analytics

This chapter is meant to introduce you to the field of healthcare analytics and is for all audiences. By the end of this chapter, you will understand the basic definition of healthcare analytics, the topics that healthcare analytics encompasses, a history of healthcare analytics, and some well-known application areas. In the second half of this chapter, we will guide you through installing the required software and provide a light introduction to Anaconda and SQLite.

In short, we will be covering the following topics in this chapter:

  • Basics of healthcare analytics
  • History of healthcare analytics
  • Examples of healthcare analytics
  • Introduction to Anaconda, Jupyter Notebook, and SQLite
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