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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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 Kumar Kumar
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Kumar
 Khader Khader
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Khader
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Table of Contents (17) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Foreword
Contributors
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 1. Other Books You May Enjoy Index

Congestive heart failure


Of all the cardiac events mentioned in the Overall cardiovascular risk section, CHF deserves a special section of its own. That is for three main reasons:

  • CHF is the most common cause of hospital admission in developed countries
  • Its cost of management is very high, accounting for up to 2% of total healthcare expenditures
  • Its cost of diagnosis is also very high, requiring expensive echocardiograms to be performed, read, and interpreted by specialized personnel and physicians (Tripoliti et al., 2016)

Diagnosing CHF

While CHF can be deemed probable in patients with particular symptoms, risk factors, electrocardiogram findings, and laboratory results, a definitive diagnosis can only be made through echocardiography or a cardiac MRI. Echocardiography requires skilled personnel to administer the test, and then a specialist physician (usually a cardiologist or radiologist) must read the study and visually assess how well the heart is pumping. This is usually done by estimating...

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