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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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Starting an SQLite session

The database engine we will use to transform our database is SQLite. In Chapter 1, Introduction to Healthcare Analytics, we went over installation instructions as well as basic SQLite commands. It should be mentioned that SQL comes in many variants, and the SQL specific to SQLite has minor differences to that specific to MySQL or SQL Server databases. However, the underlying principles remain constant across all SQL dialects.

At this time, do the following:

  1. Navigate to the directory containing the sqlite3.exe program in your shell or command prompt (using the cd command).
  2. Type sqlite3 mortality.db and press Enter. You should see a prompt that looks like the following: sqlite>. This prompt indicates that you are in the SQLite program.
  3. Throughout the remainder of this chapter, we are going to create some tables and execute some SQLite commands on them...
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Healthcare Analytics Made Simple
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