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Healthcare Analytics Made Simple

Healthcare Analytics Made Simple

By : Kumar, Khader
4.4 (8)
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Healthcare Analytics Made Simple

Healthcare Analytics Made Simple

4.4 (8)
By: Kumar, 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)
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Conclusion of this book

In this book, we focused on healthcare analytics with the triple aim of healthcare: reducing cost, improving outcomes, and increasing care quality. Now that you have read the book, you can hopefully see more clearly how healthcare analytics can accomplish that. It can reduce healthcare costs by diagnosing problems correctly (with the help of inexpensive machine learning algorithms) and preventing unnecessary tests. It can improve healthcare outcomes by diagnosing problems sooner rather than later, allowing for corrective action to take place. Finally, it can increase quality by determining which hospitals are providing proper and timely care, and rewarding those hospitals for doing so.

With the aim of improving healthcare throughout the world, this book has introduced to you several friends that will help you to achieve that task:

  • The Python language,...

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