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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
Author Profile Icon Kumar
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

Contributors

About the author

Dr. Vikas (Vik) Kumar grew up in the United States in Niskayuna, New York. He earned his MD from the University of Pittsburgh, but shortly afterwards he discovered his true calling of computers and data science. He then earned his MS in the College of Computing at Georgia Institute of Technology and has subsequently worked as a data scientist for both healthcare and non-healthcare companies. He currently lives in Atlanta, Georgia.

Thank you to Mark Braunstein, James Cheng, Shameer Khader, Bryant Menn, Srijita Mukherjee, and Bob Savage for their helpful comments on the book drafts.

 

About the reviewer

Seungjin Kim is currently a software engineer at Arcules, transforming video data into intelligence and providing a product based on distributed machine learning architecture. Previously, he was a software engineer at a genetic startup, providing a quality frontend user experience for patients accessing genetic products. He received his M.D. from the Medical School for International Health at the Ben-Gurion University of the Negev in Israel in 2015, and he received his B.S. in computer science and Engineering from the University of California in 2008.

 

 

 

 

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