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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

Healthcare and deep learning

No book on healthcare analytics would be complete without a discussion of deep learning. In recent years, unparalleled results have been achieved in the areas of speech recognition, face recognition, language understanding, and object identification using deep learning algorithms (Goodfellow et al., 2016). Almost in tandem have been the breakthroughs in healthcare; from cancer detection on pathology slides and radiology scans to predicting mortality and readmissions, time and time again, results are being seen that rival (and in some cases surpass) committees of expert physicians.

We have already discussed some aspects of deep learning briefly. In Chapter 1, Introduction to Healthcare Analytics, we discussed a historical paper that is seen by many to have been a seminal event for deep learning as a field, in Chapter 3, Machine Learning Foundations...

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