Medicine & Health Sciences

Intelligent Interactive Multimedia Systems for e-Healthcare Applications
Editors: Shaveta Malik, PhD
Amit Kumar Tyagi, PhD

Intelligent Interactive Multimedia Systems for e-Healthcare Applications

Published. Available now.
Pub Date: November 2022
Hardback Price: see ordering info
Hard ISBN: 9781774910221
E-Book ISBN: 9781003282112
Pages: 462pp w/index
Binding Type: Hardback / ebook
Notes: 8 color and 117 b/w illustrations

This new volume explores how the merging of interactive multimedia with artificial intelligence has created new and advanced tools in healthcare. It looks at how the latest technologies (artificial intelligence, deep learning, machine learning, big data, IoT, smart device, etc.) help to manage health data, diagnose health issues, monitor treatment, predict pandemic diseases, and more.

The book covers several important applications of multimedia in healthcare, including for data visualization purposes, for computer vision for elder healthcare monitoring, for detection of lung nodules, for health monitoring and management systems using machine learning techniques, and for fusion applications in medical image processing. The book goes into detail on the various methods and techniques for supporting multimedia systems for e-healthcare. The chapter authors discuss using data mining and machine learning techniques in the context of COVID-19 diagnosis and prediction, in detecting knee osteoarthritis using texture descriptor algorithms, in applying algorithms in fetal ECG enhancement using blockchain for wearable internet of things in healthcare, and more. A chapter also reviews how doctors can make good use of genomics and genetic data through advanced technology. The book concludes with discussions of open issues, challenges, and future research directions for using intelligent interactive multimedia in healthcare.

Key features

  • Provides an in-depth understanding of emerging technologies and integration of artificial intelligence, deep learning, big data, IoT in healthcare

  • Details specific applications for the use of AI, big data, and IoT in healthcare

  • Discusses how AI technology can help in formulating protective measures for COVID-19 and other diseases

  • Includes case studies


Intelligent Interactive Multimedia Systems for e-Healthcare Applications will be valuable to undergraduate and graduate students planning their careers in either industry or research and to software engineers for using multimedia with artificial intelligence, deep learning, big data, and IoT for healthcare applications.

CONTENTS:

Preface

Introduction
Shaveta Malik and Amit Kumar Tyagi

PART I: INTRODUCTION OF MULTIMEDIA IN HEALTHCARE APPLICATIONS
1. Data Visualization for Healthcare
S. Usharani, P. Manju Bala, R. Rajmohan, T. Ananth Kumar, and M. Pavithra

2. Health Monitoring and Management System Using Machine Learning Techniques
Bharati Patil and D. Vydeki

3. A Study on Fusion Methods and Their Applications in Medical Image Processing
Nischitha and Chandra Singh

4. A Study on Elderly Caretaker Bot Using Computer Vision and Artificial Intelligence
Chandra Singh, Nischitha, Ashwath Rao, Shailesh S. Shetty, and Pavanalaxmi

5. Knowledge Shift for Candidate Categorization in Lung Nodule Detection Using 3D Convolutional Neural Network
P. Manju Bala, S. Usharani, R. Rajmohan, M. Pavithra, and T. Ananth Kumar

PART II: METHODS AND TECHNIQUES FOR SUPPORTING MULTIMEDIA SYSTEMS FOR E-HEALTHCARE
6. Data Mining Techniques: Risk-Wise Classification of Countries Towards Prediction and Analysis of Worldwide COVID-19 Dataset
Sachin Kamley

7. Mathematical Model of COVID-19 Diagnosis Prediction Using Machine Learning Techniques
V. Kakulapati and M. Nagaraju

8. Detection and Classification of Knee Osteoarthritis Using Texture Descriptor Algorithms
Anjani Hegde, Rishma Mary George, and H. D. Ranjith

9. Sensor Cloud-Based Theoretical Machine Learning Models for Predicting Pandemic Diseases
Prashant Sangulagi and Ashok V. Sutagundar

PART III: APPLICATIONS FOR INTELLIGENT AND AUTOMATED HEALTHCARE SYSTEMS
10. Applications of Machine Learning Algorithms in Fetal ECG Enhancement for E-Healthcare
Yojana Sharma, Shashwati Ray, and Om Prakash Yadav

11. Blockchain for Wearable Internet of Things in Healthcare
Shubhangi Kharche and Rizwana Shaikh

12. AI-Based Robotics in E-Healthcare Applications
P. Praveen Kumar, T. Ananth Kumar, R. Rajmohan, and M. Pavithra

13. Automated Health Monitoring System (AHMS) Using IoT for Improving Healthcare
M. Vergin Raja Sarobin, Sherly Alphonse, and L. Jani Anbarasi

14. Bio-Medical Data Analysis: Current Status and Future Trends
Amit Kumar Tyagi, S. U. Aswathy, and Shaveta Malik

PART IV: FUTURE RESEARCH DIRECTIONS FOR INTELLIGENT AND AUTOMATED HEALTHCARE ENVIRONMENT
15. Healthcare 4.0 in Prospective of Respiratory Support System and Artificial Lung
Moupali Roy, Arpan Das, Biswarup Neogi, and Prabir Saha

16. Lifestyle Revolution: The Way to Health Care, Case of India
Raju K. Kurian, Jyotsna Haran, and Saurabh Ojha

PART V: SHIFTING OF HEALTHCARE SYSTEMS TOWARDS EMERGING TECHNOLOGIES
17. Internet of Things Based Cloud Applications: Open Issues, Challenges and Future Research Directions
Siddharth M. Nair, R. Varsha, Amit Kumar Tyagi, and S. U. Aswathy

18. Genomics and Genetic Data: A Third Eye for Doctors
M. Shamila, Amit Kumar Tyagi, and S. U. Aswathy

Index


About the Authors / Editors:
Editors: Shaveta Malik, PhD
Associate Professor, Computer Engineering Department, Terna Engineering College, University of Mumbai, Nerul, India

Shaveta Malik, PhD, is Associate Professor in the Computer Engineering Department (NBA accredited) at Terna Engineering College, University of Mumbai, Nerul, India. She has more than 11 years of teaching and research experience. She is a member of numerous editorial boards and scientific and advisory committees of international conferences and journals. She has been a co-chair at international conferences also. Her research area focuses on image processing, machine learning, deep learning, and artificial intelligence. She received an international best paper award at the 20th ICCSA–2020, University of Caglari, Italy. She is a member of the Association for Computing Machinery and IEEE. She earned her PhD at Lingaya’s Vidyapeeth, Faridabad, India.

Amit Kumar Tyagi, PhD
Assistant Professor and Senior Researcher, Vellore Institute of Technology, Chennai Campus, India

Amit Kumar Tyagi, PhD, is Assistant Professor (Senior Grade) and Senior Researcher at Vellore Institute of Technology, Chennai Campus, India. His current research focuses on machine learning with big data, blockchain technology, data science, cyber physical systems, smart computing, and security and privacy. He has contributed to several projects such as AARIN and P3-Block to address some of the open issues related to privacy breaches in vehicular applications (such as parking) and medical cyber physical systems. He received his PhD from Pondicherry Central University, India. He is a member of IEEE.




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