Exploratory data analytics for healthcare

by Balamurugan, B Indrakumari, R. Kumar, R. Lakshmana Shankar, Achyut

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Title Statements

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

Summary

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"

Edition Statements

Publication Date:2022
Edition:First edition

Publication Statements

Publisher(s):CRC Press
Place of Publication:Boca Raton, FL
Language:eng
Publication Date:2022

Notes

Includes index.

The Physical Object

Description:pages cm

Edition Identifiers

ISBN:9780367506919, 0367506912, 9780367506926, 0367506920
oclc:on1298715661
LC Classification:R858
Dewey Decimal:610.285

Subjects

Case studies Datenanalyse Gesundheitswesen Médecine -- Études de cas. -- Informati… Médecine -- Informatique Medical informatics -- Research Medicine -- Case studies -- Data proces… Medicine -- Data processing