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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 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

References

Basole RC, Kumar V, Braunstein ML, et al. (2015). Analyzing and Visualizing Clinical Pathway Adherence in the Emergency Department. Nashville, TN: INFORMS Healthcare Conference, July 29-31, 2015.

Baxt, WG (1990). "Use of an Artificial Neural Network for Data Analysis in Clinical Decision-Making: The Diagnosis of Acute Coronary Occlusion." Neural Computation 2 (4): 480-489.

Ledley RS, Lusted LB (1959). "Reasoning Foundations of Medical Diagnosis." Science 130 (3366): 9-21.

Miller RA, Pople Jr. HE, Myers JD (1982). "INTERNIST-1, An Experimental Computer-Based Diagnostic Consultant for General Internal Medicine." New Engl J Med 307: 468-476.

Minsky M, Papert SA ( 1969). "Perceptrons." Cambridge, MA: The MIT Press.

Rumelhart DE, Hinton GE, Williams RJ (1986). "Learning representations by back-propagating errors." Nature 323(9): 533-536.

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