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

Format Electronic
EditionFirst edition.
Publication InfoBoca Raton, FL : CRC Press, 2022.
Description1 online resource
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

Other author/creatorKumar, R. Lakshmana.
Other author/creatorIndrakumari, R.
Other author/creatorBalusamy, Balamurugan.
Other author/creatorShankar, Achyut.
SeriesInnovations in big data and machine learning
Partial contents Visual analytics: scopes & challenges / K. Hazarika, GCET, Gr. Noida, India, M-IEEE, Dr. A. Ambikapathy, GCET, Gr. Noida, India, M-IEEE, Shobana R., GCET, Gr. Noida, India, M-IEEE, Dr. Amit Agrawal (ABES Engineering College, Ghaziabad, India -- Statistical methods and applications: a comprehensive reference for the healthcare industry / Areeba Kazim, Researcher, DST Project, Amity School of Engineering & Technology, Dept. of CSE, Amity University, Noida, UP, India, Dr. Achyut Shankar, Assistant Professor, Amity School of Engineering & Technology, Dept. of CSE, Amity University, Noida, UP, India, Muskan Jindal, Bachelors of Technology (Computer Science), Amity School of Engineering & Technology, Dept. of CSE, Amity University, Noida, UP, India -- Machine Learning Algorithms for Healthcare Data Analytic -- A review of challenges and opportunities in machine learning for healthcare / M. Arvindhan, Galgotias University, D. Rajeshkumar, Galgotias University.
Abstract "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"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Exploratory data analytics for healthcare First edition. Boca Raton, FL : CRC Press, 2022 9780367506919
Genre/formElectronic books.
LCCN 2021042072
ISBN9781000527056 (epub)
ISBN9781003050827 (ebk)
ISBN(hbk)
ISBN(pbk)