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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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Toc

Table of Contents (11) Chapters Close

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

Obtaining the dataset

In this section, we will provide step-by-step instructions for obtaining the data and its associated documentation.

The NHAMCS dataset at a glance

The dataset we have chosen for this book is part of the National Hospital Ambulatory Medical Care Survey (NHAMCS) public use data. It is survey data published and maintained by the US Center for Disease Control and Prevention (CDC). The home page for this data set is https://www.cdc.gov/nchs/ahcd/ahcd_questionnaires.htm.

  • The NHAMCS data is survey-based data; it is populated by surveys sent to patients and healthcare providers that were seen in the hospital for encounters.
  • The data files are in fixed-width format. In other words, they are text files in which...
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