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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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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

Healthcare analytics and the internet

Physically, the internet is a specific computer network that connects millions of computing devices worldwide. Practically, it is an infrastructure that provides services to applications such as email, social networks, data storage, and communication (Kurose and Ross, 2013). The internet rose to prominence in the 1990s and affected virtually every industry in the global economy; healthcare is no exception. As we discussed in Chapter 2, Healthcare Foundations, clinical data is increasingly being stored electronically on computers, and third parties who perform analytics with this data often receive the data via the internet and use the cloud to store this data. Furthermore, the results of the analytics are often communicated back to the healthcare organization via an internet technology known as an application programming interface (API) by...

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