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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

Conclusion of this book

In this book, we focused on healthcare analytics with the triple aim of healthcare: reducing cost, improving outcomes, and increasing care quality. Now that you have read the book, you can hopefully see more clearly how healthcare analytics can accomplish that. It can reduce healthcare costs by diagnosing problems correctly (with the help of inexpensive machine learning algorithms) and preventing unnecessary tests. It can improve healthcare outcomes by diagnosing problems sooner rather than later, allowing for corrective action to take place. Finally, it can increase quality by determining which hospitals are providing proper and timely care, and rewarding those hospitals for doing so.

With the aim of improving healthcare throughout the world, this book has introduced to you several friends that will help you to achieve that task:

  • The Python language,...
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