Exploratory data analytics for healthcare
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 comprehens...
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| Weitere Verfasser: | , , , |
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Boca Raton, London, New York
CRC Press
2022
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| Ausgabe: | First edition |
| Schriftenreihe: | Innovations in big data and machine learning
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| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis |
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Tag hinzufügen | Zusammenfassung: | 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. "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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| Beschreibung: | Literaturangaben |
| Beschreibung: | xiii, 291 Seiten |
| ISBN: | 9780367506919 978-0-367-50691-9 9780367506926 978-0-367-50692-6 |