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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

References and further reading

Brathwaite SR, Giraud-Carrier C, West J, Barnes MD, Hanson CL (2016). Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality. JMIR Ment Health 3(2): e21.

Charles-Smith LE, Reynolds TL, Cameron MA, Conway M, Lau EHY, Olsen JM, Pavlin JA, Shigematsu M, Streichert LC, Suda KJ, Corley CD (2015). Using Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature Review. PLoS ONE 10(10): e0139701.

Dimitrov DV (2016). Medical Internet of Things and Big Data in Healthcare. Healthcare Inform Res 22(3): 156-163.

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

Goodfellow I, Bengio Y, Courville A (2016). Deep Learning. Boston, MA: MIT Press.

Liu Y, Gaepalli K, Norouzi M, Dahl GE, Kohlberger...

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