This chapter is intended for all audiences and will show you how healthcare providers are evaluated and rewarded/penalized under current value-based programs in the US. We will look at examples of actual provider data that's been downloaded from the web and wrangle it all using Python to extract the information we need. By the end of this chapter, you will be able to locate provider-based data on a given program of interest and manipulate it in pandas to identify those providers who are high-performing and those who could benefit from an analytic solution.
Healthcare Analytics Made Simple
By :
Healthcare Analytics Made Simple
By:
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)
Preface
Free Chapter
Introduction to Healthcare Analytics
Healthcare Foundations
Machine Learning Foundations
Computing Foundations – Databases
Computing Foundations – Introduction to Python
Measuring Healthcare Quality
Making Predictive Models in Healthcare
Healthcare Predictive Models – A Review
The Future – Healthcare and Emerging Technologies
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