Exploratory data analytics for healthcare / edited by R. Lakshmana Kumar, R. Indrakumari, B. Balamurugan, Achyut Shankar.

By:

Kumar, R. Lakshmana

Contributor(s):

Material type: Text

TextSeries: Innovations in big data and machine learningPublication details: New York, CRC Press, 2022.Edition: 1st edDescription: xiii, 291ISBN:

9781000527056
9781003050827

Subject(s):

Additional physical formats: Print version:: Exploratory data analytics for healthcareDDC classification:

610.285 KUM/E

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"--

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Books	Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre Medicine	610.285 KUM/E (Browse shelf(Opens below))	Available		6753

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Previous	610.285 CEL/G Global health informatics: Principles of ehealth and mhealth to improve quality of care	610.285 GOO/E Ethics, medicine, and information technology: Intelligent machines and the transformation of health care	610.285 HOU/P The project manager's guide to health information technology implementation	610.285 KUM/E Exploratory data analytics for healthcare /	610.285 MAL/A AI and machine learning paradigms for health monitoring system : Intelligent data analytics	610.285 MEH/H Healthcare systems and health informatics : using internet of things /	610.285 MIT/M Medical internet of things : techniques, practices and applications	Next

Includes bibliographical references and index.

"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"--

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