Book Description
This book is a self-contained overview of machine learning for healthcare analytics. Book describes briefly the current international healthcare landscape, machine learning algorithms, and the Python programming language.Application of these principles to popular healthcare analytic use-cases that healthcare providers are clamoring to solve, such as readmission prediction and emergency department outcome evaluation etc. Each chapter will cover a new use-case with a new machine learning algorithm and will develop step-by-step code sufficient for implementation.
The functional outcomes of the book is to demonstrate that how Python packages are used for 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, with the help of real-world examples.
