Book Image

Healthcare Analytics Made Simple

By : Vikas (Vik) Kumar, Shameer Khader
Book Image

Healthcare Analytics Made Simple

By: Vikas (Vik) Kumar, Shameer Khader

Overview of this book

In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists’ work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples.
Table of Contents (11 chapters)

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...