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Sourav De - Applied Smart Health Care Informatics: A Computational Intelligence Perspective

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Applied Smart Health Care Informatics

Explores how intelligent systems offer new opportunities for optimizing the acquisition, storage, retrieval, and use of information in healthcare

Applied Smart Health Care Informatics explores how health information technology and intelligent systems can be integrated and deployed to enhance healthcare management. Edited and authored by leading experts in the field, this timely volume introduces modern approaches for managing existing data in the healthcare sector by utilizing artificial intelligence (AI), meta-heuristic algorithms, deep learning, the Internet of Things (IoT), and other smart technologies.

Detailed chapters review advances in areas including machine learning, computer vision, and soft computing techniques, and discuss various applications of healthcare management systems such as medical imaging, electronic medical records (EMR), and drug development assistance. Throughout the text, the authors propose new research directions and highlight the smart technologies that are central to establishing proactive health management, supporting enhanced coordination of care, and improving the overall quality of healthcare services.

  • Provides an overview of different deep learning applications for intelligent healthcare informatics management
  • Describes novel methodologies and emerging trends in artificial intelligence and computational intelligence and their relevance to health information engineering and management
  • Proposes IoT solutions that disseminate essential medical information for intelligent healthcare management
  • Discusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniques
  • Examines the use of exploratory data analysis in intelligent healthcare informatics systems

Applied Smart Health Care Informatics: A Computational Intelligence Perspective is an invaluable text for graduate students, postdoctoral researchers, academic lecturers, and industry professionals working in the area of healthcare and intelligent soft computing.

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Table of Contents List of Tables Chapter 2 Chapter 3 Chapter 4 Chapter - photo 1
Table of Contents
List of Tables
  1. Chapter 2
  2. Chapter 3
  3. Chapter 4
  4. Chapter 5
  5. Chapter 6
  6. Chapter 7
  7. Chapter 8
  8. Chapter 9
List of Illustrations
  1. Chapter 2
  2. Chapter 3
  3. Chapter 4
  4. Chapter 5
  5. Chapter 6
  6. Chapter 7
  7. Chapter 8
  8. Chapter 9
Guide
Pages

Series Preface Dr. Siddhartha Bhattacharyya, CHRIST (Deemed to be University), Bengaluru, India (Series Editor)

The Intelligent Signal and Data Processing (ISDP) book series is aimed at fostering the field of signal and data processing, which encompasses the theory and practice of algorithms and hardware that convert signals produced by artificial or natural means into a form useful for a specific purpose. The signals might be speech, audio, images, video, sensor data, telemetry, electrocardiograms, or seismic data, among others. The possible application areas include transmission, display, storage, interpretation, classification, segmentation, or diagnosis. The primary objective of the ISDP book series is to evolve futuregeneration scalable intelligent systems for faithful analysis of signals and data. ISDP is mainly intended to enrich the scholarly discourse on intelligent signal and image processing in different incarnations. ISDP will benefit a wide range of learners, including students, researchers, and practitioners. The student community can use the volumes in the series as reference texts to advance their knowledge base. In addition, the monographs will also come in handy to the aspiring researcher because of the valuable contributions both have made in this field. Moreover, both faculty members and data practitioners are likely to grasp depth of the relevant knowledge base from these volumes.

The series coverage will contain, not exclusively, the following:

  1. Intelligent signal processing
    1. Adaptive filtering
    2. Learning algorithms for neural networks
    3. Hybrid softcomputing techniques
    4. Spectrum estimation and modeling
  2. Image processing
    1. Image thresholding
    2. Image restoration
    3. Image compression
    4. Image segmentation
    5. Image quality evaluation
    6. Computer vision and medical imaging
    7. Image mining
    8. Pattern recognition
    9. Remote sensing imagery
    10. Underwater image analysis
    11. Gesture analysis
    12. Human mind analysis
    13. Multidimensional image analysis
  3. Speech processing
    1. Modeling
    2. Compression
    3. Speech recognition and analysis
  4. Video processing
    1. Video compression
    2. Analysis and processing
    3. 3D video compression
    4. Target tracking
    5. Video surveillance
    6. Automated and distributed crowd analytics
    7. Stereotoauto stereoscopic 3D video conversion
    8. Virtual and augmented reality
  5. Data analysis
    1. Intelligent data acquisition
    2. Data mining
    3. Exploratory data analysis
    4. Modeling and algorithms
    5. Big data analytics
    6. Business intelligence
    7. Smart cities and smart buildings
    8. Multiway data analysis
    9. Predictive analytics
    10. Intelligent systems
Applied Smart Health Care Informatics
A Computational Intelligence Perspective

Edited by

Sourav De

Cooch Behar Govt. Engineering College, Cooch Behar, West Bengal, India

Rik Das

Xavier Institute of Social Service, Ranchi, Bihar, India

Siddhartha Bhattacharyya

CHRIST (Deemed to be University), Bengaluru, India

Ujjwal Maulik

Jadavpur University, Kolkata, West Bengal, India

This edition first published 2022 2022 John Wiley Sons Ltd All rights - photo 2

This edition first published 2022

2022 John Wiley & Sons Ltd

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

The right of Sourav De, Rik Das, Siddhartha Bhattacharyya, and Ujjwal Maulik to be identified as the authors of the editorial material in this work has been asserted in accordance with law.

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John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA

John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, UK

Editorial Office

The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, UK

For details of our global editorial offices, customer services, and more information about Wiley products visit us at www.wiley.com.

Wiley also publishes its books in a variety of electronic formats and by printondemand. Some content that appears in standard print versions of this book may not be available in other formats.

Limit of Liability/Disclaimer of Warranty

While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

Library of Congress CataloginginPublication Data

Names: De, Sourav, 1979 editor. | Das, Rik, 1978 editor. | Bhattacharyya,

Siddhartha, 1975 editor. | Maulik, Ujjwal, editor.

Title: Applied smart health care informatics : a computational intelligence

perspective / Sourav De, Rik Das, Siddhartha Bhattacharyya, Ujjwal

Maulik.

Description: First edition. | Hoboken, NJ : Wiley, 2022. | Series: The

Wiley series in intelligent signal and data processing | Includes index.

Identifiers: LCCN 2021039430 (print) | LCCN 2021039431 (ebook) | ISBN

9781119743170 (hardback) | ISBN 9781119743200 (adobe pdf) | ISBN

9781119742982 (epub)

Subjects: LCSH: Medical informatics.

Classification: LCC R858 .A69 2022 (print) | LCC R858 (ebook) | DDC

610.285dc23/eng/20211001

LC record available at https://lccn.loc.gov/2021039430

LC ebook record available at https://lccn.loc.gov/2021039431

Cover Design: Wiley

Cover Image: sdecoret/Shutterstock

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