Healthcare Analytics Made Simple: Techniques in healthcare computing using machine learning and Python

Kumar, Vikas

ISBN 10: 1787286703 / ISBN 13: 9781787286702

Published by Packt Publishing, 2018

About this Item

This copy has clearly been enjoyedâ expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.

Seller Inventory # DBV.1787286703.A

Bibliographic Details

• Title: Healthcare Analytics Made Simple: Techniques in healthcare computing using machine learning and Python
• Publisher: Packt Publishing
• Publication Date: 2018
• Language: English
• ISBN 10: 1787286703
• ISBN 13: 9781787286702
• Binding: Soft cover
• Condition: acceptable

About this title

Synopsis

"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"--

About the Author

Dr. Vikas (Vik) Kumar grew up in the United States in Niskayuna, New York. He earnedhis MD from the University of Pittsburgh, but shortly afterwards he discovered his truecalling of computers and data science. He then earned his MS in the College of Computingat Georgia Institute of Technology and has subsequently worked as a data scientist for bothhealthcare and non-healthcare companies. He currently lives in Atlanta, Georgia.