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Healthcare Analytics Made Simple: Techniques in healthcare computing using machine learning and Python - Softcover
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"--
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About the Author
Dr. Vikas "Vik" Kumar is a physician-turned-Data Scientist from Niskayuna, New York. He earned his MD degree from the University of Pittsburgh, but he discovered his true calling of computers and data science shortly afterward. Dr. Kumar then earned his MS degree from the College of Computing at Georgia Institute of Technology and subsequently began his career as a healthcare data scientist. He has participated in many successful projects related to descriptive, predictive and population health analytics. He currently resides in Atlanta, Georgia, and works as a data scientist at Digital Envoy, a well-established company in the digital marketing industry.
In addition to being an author, in 2020 Dr. Kumar developed two Health Tech courses with EmergingEd, an education technology company: Health Informatics: Foundations and Frameworks and Health Analytics: Foundations and Frameworks. He has presented his research and work at many academic conferences and community meetings, including the KDD data science conference and the Data Science ATL Healthcare Analytics Meetup. Dr. Kumar has also appeared in several peer-reviewed journals, including the Journal of the American Medical Informatics Association (JAMIA).
Dr. Kumar has a BS degree in Neuroscience from Brown University.
"About this title" may belong to another edition of this title.
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Healthcare Analytics Made Simple: Techniques in healthcare computing using machine learning and Python
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Packt Publishing (edition ), 2018
ISBN 10: 1787286703
ISBN 13: 9781787286702
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Healthcare Analytics Made Simple : Techniques in Healthcare Computing Using Machine Learning and Python
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ISBN 10: 1787286703
ISBN 13: 9781787286702
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