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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
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Shameer Khader
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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

Healthcare delivery in the US

The healthcare industry impacts all of us, through its interactions with ourselves, our loved ones, our family, and our friends. The high costs associated with the healthcare industry are intertwined with the physical, emotional, and spiritual trauma that occurs when someone close to us becomes ill or feels pain.

In the United States, the healthcare system is in a fragile state, as healthcare expenditure exceeds 15% of the nation's total GDP; this proportion far exceeds that of other developed countries, and is expected to rise to at least 20% by the year 2040 (Braunstein, 2014; Bernaert, 2015). The rise in healthcare costs in the US, and internationally, can be attributed to several factors. One is a shift in demographics to a more elderly population. Average life expectancy (LE) rose to in excess of 80 years of age for the first time in 2011...

You have been reading a chapter from
Healthcare Analytics Made Simple
Published in: Jul 2018
Publisher: Packt
ISBN-13: 9781787286702
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