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Practical Big Data Analytics

You're reading from   Practical Big Data Analytics Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781783554393
Length 412 pages
Edition 1st Edition
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Author (1):
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Nataraj Dasgupta Nataraj Dasgupta
Author Profile Icon Nataraj Dasgupta
Nataraj Dasgupta
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Table of Contents (13) Chapters Close

Preface 1. Too Big or Not Too Big FREE CHAPTER 2. Big Data Mining for the Masses 3. The Analytics Toolkit 4. Big Data With Hadoop 5. Big Data Mining with NoSQL 6. Spark for Big Data Analytics 7. An Introduction to Machine Learning Concepts 8. Machine Learning Deep Dive 9. Enterprise Data Science 10. Closing Thoughts on Big Data 11. External Data Science Resources 12. Other Books You May Enjoy

Tracking physician payments with real-world data

Physicians and hospitals alike receive payments from various external organizations, such as pharmaceutical companies who engage sales representatives to not only educate practitioners on their products, but also provide gifts or payments in kind or otherwise. In theory, gifts or payments made to physicians are not intended to influence their prescribing behavior, and pharmaceutical companies adopt careful measures to maintain checks and balances on payments being made to healthcare providers.

In 2010, President Obama's signature Affordable Care Act (ACA), also known in popular parlance as Obamacare, went into effect. Alongside the ACA, a separate legislation known as the Sunshine Act made reporting items of monetary value (directly or indirectly) mandatory for pharmaceutical companies and other organizations. While such...

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