Healthcare Analytics Made Simple

Kumar, Vikas

ISBN 10: 1787286703 ISBN 13: 9781787286702

Editorial: Packt Publishing, 2018

Idioma: Ingl�s

Condici�n: Usado - Bueno Encuadernaci�n de tapa blanda

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The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

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Detalles bibliogr�ficos

T�tulo

Healthcare Analytics Made Simple

Editor

Packt Publishing

Fecha de publicaci�n

2018

Idioma

Ingl�s

ISBN 10

1787286703

ISBN 13

9781787286702

Encuadernaci�n

Paperback

Estado

Very Good

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Sinopsis

"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"--

Acerca del autor

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.

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