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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

Making the response variable

In some cases, the response variable that we are trying to predict may already be a separate well-defined column. In those cases, simply converting the response from a string to a numeric type before splitting the data into train and test sets will suffice.

In our specific modeling task, we are trying to predict which patients presenting to the ED will eventually be hospitalized. In our case, hospitalization encompasses:

  • Those admitted to an inpatient ward for further evaluation and treatment
  • Those transferred to a different hospital (either psychiatric or non-psychiatric) for further treatment
  • Those admitted to the observation unit for further evaluation (whether they are eventually admitted or discharged after their observation unit stay)

Accordingly, we must do some data wrangling to assemble all of these various outcomes into a single response...

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