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Exploratory data analytics for healthcare

et.al. - Personal Name; R. Lakshmana Kumar - Personal Name;

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.


Availability
#
4th Floor-i3L Library 610.285 Exp
20221000021
Available
Detail Information
Series Title
-
Call Number
610.285 Exp
Publisher
Boca Raton, FL : CRC Press., 2022
Collation
xiii, 289 p. : ill. ; 24 cm.
Language
English
ISBN/ISSN
9780367506919
Classification
NONE
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Medical informatics--Research.
Medicine--Data processing--Case studies.
Specific Detail Info
-
Statement of Responsibility
-
Other version/related

No other version available

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Indonesia International Institute for Life Sciences - Learning Resources Center
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About Us

i3L Learning Resources Center (LRC) is vital part of your academic experience at Indonesia International Institute for Life-Sciences. LRC exists to support the teaching, learning and research programs of the Institute through the provision of high quality services and facilities which include access to a range of printed and digital resources primarily in the field of life-sciences and business. 

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