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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

Product type Paperback

Published in Jul 2018

Publisher Packt

ISBN-13 9781787286702

Length 268 pages

Edition 1st Edition

Languages

Python

Tools

Scikit-learn

Concepts

Data Analysis

Authors (2):

Vikas (Vik) Kumar

Shameer Khader

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Table of Contents (11) Chapters

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

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References and further reading

Cameron A, Rodgers K, Ireland A, et al. (2015). A simple tool to predict admission at the time of triage. Emerg Med J 2015;32:174-179.

Futoma J, Morris J, Lucas J (2015). A comparison of models for predicting early hospital readmissions. Journal of Biomedical Informatics 56: 229-238.

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Authors (2)

Kumar

Kumar

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.

See other products by Kumar

Khader

Khader

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