Exploratory data analytics for healthcare /

"Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way. The book addresses the complete d...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Kumar, R. Lakshmana (Editor), Indrakumari, R. (Editor), Balamurugan, B. (Editor), Shankar, Achyut (Editor)
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2022.
Edition:First edition.
Series:Innovations in big data and machine learning
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way. The book addresses the complete data visualization technologies workflow, explores basic and high-level concepts of computer science and engineering in medical science, and provides an overview of the clinical scientific research areas that enables smart diagnosis equipment. It will discuss techniques and tools used to explore large volumes of medical data and offers case studies that focus on the innovative technological upgradation and challenges faced today. The primary audience for the book includes specialists, researchers, graduates, designers, experts, physicians, and engineers who are doing research in this domain"--
Physical Description:1 online resource.
Bibliography:Includes bibliographical references and index.
ISBN:9781000527056
1000527050
9781003050827
1003050824
9781000527018
1000527018