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)

Introduction to Healthcare Analytics

This chapter is meant to introduce you to the field of healthcare analytics and is for all audiences. By the end of this chapter, you will understand the basic definition of healthcare analytics, the topics that healthcare analytics encompasses, a history of healthcare analytics, and some well-known application areas. In the second half of this chapter, we will guide you through installing the required software and provide a light introduction to Anaconda and SQLite.

In short, we will be covering the following topics in this chapter:

  • Basics of healthcare analytics
  • History of healthcare analytics
  • Examples of healthcare analytics
  • Introduction to Anaconda, Jupyter Notebook, and SQLite