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Manikant Roy (editor) - Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease

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Manikant Roy (editor) Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease

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Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.

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Machine Learning and Data Analytics for Predicting Managing and Monitoring - photo 1
Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease
  • Manikant Roy
    Lovely Professional University, India
  • Lovi Raj Gupta
    Lovely Professional University, India

A volume in the Advances in Medical Technologies and Clinical Practice (AMTCP) Book Series Book Series

Published in the United States of America by IGI Global an imprint of IGI - photo 2Published in the United States of America by IGI Global an imprint of IGI - photo 3

Published in the United States of America by IGI Global (an imprint of IGI Global) 701 E. Chocolate Avenue Hershey PA 17033 Tel: 717-533-8845 Fax: 717-533-8661 E-mail: cust@igi-global.com Web site: http://www.igi-global.com/reference

Copyright 2021 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher.

Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark.

Library of Congress Cataloging-in-Publication Data


Names: Roy, Manikant, 1989- editor. | Gupta, Lovi Raj, editor.
Title: Machine learning and data analytics for predicting, managing, and
monitoring disease / Manikant Roy and Lovi Raj Gupta, editors.
Description: Hershey : Engineering Science Reference, [2022] | Includes
bibliographical references and index. | Summary: "This book provides the
recent various theoretical frameworks, empirical research and
application of advanced analytics methods for disease detection,
pandemic management, disease prediction etc. using the data analysis
methods and their usages for taking timely decisions for prevention of
such spread of pandemic and how people in government, society and
administer can use these insights for overall management"-- Provided by
publisher.
Identifiers: LCCN 2021027657 (print) | LCCN 2021027658 (ebook) | ISBN
9781799871880 (hardcover) | ISBN 9781799871897 (paperback) | ISBN
9781799871903 (ebook)
Subjects: LCSH: Epidemiology--Data processing. | Epidemics--Mathematical
models. | Machine learning. | Artificial intelligence--Medical
applications.
Classification: LCC RA652.2.M3 M33 2022 (print) | LCC RA652.2.M3 (ebook)
| DDC 614.40285--dc23
LC record available at https://lccn.loc.gov/2021027657
LC ebook record available at https://lccn.loc.gov/2021027658

This book is published under the IGI Global book series Advances in Medical Technologies and Clinical Practice (AMTCP) (ISSN: 2327-9354 eISSN: 2327-9370)

British Cataloguing in Publication Data

A Cataloguing in Publication record for this book is available from the British Library.

All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the authors, but not necessarily of the publisher.

Advances in Medical Technologies and Clinical Practice AMTCP Book Series - photo 4
Advances in Medical Technologies and Clinical Practice (AMTCP) Book Series

Srikanta Patnaik (SOA University, India)

Priti Das (S.C.B. Medical College, India)

ISSN: 2327-9354

Mission

Medical technological innovation continues to provide avenues of research for faster and safer diagnosis and treatments for patients. Practitioners must stay up to date with these latest advancements to provide the best care for nursing and clinical practices.

The Advances in Medical Technologies and Clinical Practice (AMTCP) Book Series brings together the most recent research on the latest technology used in areas of nursing informatics, clinical technology, biomedicine, diagnostic technologies, and more. Researchers, students, and practitioners in this field will benefit from this fundamental coverage on the use of technology in clinical practices.

Coverage
  • Clinical Studies
  • Clinical Nutrition
  • Medical Imaging
  • E-Health
  • Patient-Centered Care
  • Clinical Data Mining
  • Biomechanics
  • Clinical High-Performance Computing
  • Nutrition
  • Neural Engineering

IGI Global is currently accepting manuscripts for publications within this series. To submit a proposal for a volume in this series please contact our Acquisition Editors at .

The Advances in Medical Technologies and Clinical Practice (AMTCP) Book Series(ISSN 2327-9354) is published by IGI Global, 701 E. Chocolate Avenue, Hershey, PA 17033-1240, USA, www.igi-global.com. This series is composed of titlesavailable for purchase individually; each title is edited to be contextually exclusive from any other title within the series. For pricing and ordering information please visit http://www.igi-global.com/book-series/advances-medical-technologies-clinical-practice/73682. Postmaster: send all address changes to above address. Copyright 2021 IGI Global. All rights, including translation in other languages reserved by the pulisher. No part of this series may be reproduced or used in any form or by any means - graphics, electronic, or mechanical, including photocopying, recoreding, taping, or information and retrieval systems - without written permission from the publisher, except for non commercial, educational use, including classroom teaching purposes. The views expressed in this series are those of the authors, but not necessarily of IGI Global

Titles in this Series

Advancing the Investigation and Treatment of Sleep Disorders Using AI
M. Rajesh Kumar (Vellore Institute of Technology, Vellore, India) Ranjeet Kumar (Vellore Institute of Technology, Vellore, India) and D. Vaithiyanathan (National Institute of Technology, Vellore, India)
Medical Information Science Reference copyright 2021 291pp H/C (ISBN: 9781799880189) US $345.00 (our price)

Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis
Zhongyu Lu (University of Huddersfield, UK) Qiang Xu (University of Huddersfield, UK) Murad Al-Rajab (University of Huddersfield, UK & Abu Dhabi University, UAE) and Lamogha Chiazor (University of Huddersfield, UK)
Medical Information Science Reference copyright 2021 263pp H/C (ISBN: 9781799873167) US $345.00 (our price)

Handbook of Research on Nano-Strategies for Combatting Antimicrobial Resistance and Cancer
Muthupandian Saravanan (Mekelle University, Ethiopia & Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences (SIMATS), India) Venkatraman Gopinath (University of Malaya, Malaysia) and Karthik Deekonda (Monash University, Malaysia)
Medical Information Science Reference copyright 2021 559pp H/C (ISBN: 9781799850496) US $375.00 (our price)

Handbook of Research on Solving Modern Healthcare Challenges With Gamification
Ricardo Alexandre Peixoto de Queirs (uniMAD, Escola Superior de Media Artes e Design, Portugal) and Antnio Jos Marques (LabRP, School of Health, Polytechnic of Porto, Portugal)
Medical Information Science Reference copyright 2021 382pp H/C (ISBN: 9781799874720) US $425.00 (our price)

Diagnostic Applications of Health Intelligence and Surveillance Systems

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