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Artificial Intelligence for Innovative Healthcare Informatics

  • Book
  • © 2022

Overview

Editors:
  1. Shabir Ahmad Parah

    1. PG Department of Electronics and Instrumentation Technology, University of Kashmir, Srinagar, India

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  2. Mamoon Rashid

    1. Department of Computer Engineering, Faculty of Science and Technology, Vishwakarma University, Pune, India

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    You can also search for this editor in PubMed   Google Scholar

  3. Vijayakumar Varadarajan

    1. University of New South Wales, Sydney, Australia

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  • This book will provide a unique compendium of current and emerging DL/ML based AI paradigms for healthcare informatics
  • The book also describes key technical issues with AI for healthcare
  • Propose solutions and most importantly dwell on handling security breaches in AI driven healthcare

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-vi
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  2. Medical Image Analysis Using Artificial Intelligence

    1. Front Matter

      Pages 1-1
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    2. Use of Deep Learning in Biomedical Imaging

      • N. Shanu, R. S. Ganesh
      Pages 3-33

    3. Detection of Breast Cancer Masses in Mammogram Images with Watershed Segmentation and Machine Learning Approach

      • Amanpreet Kaur, Mamoon Rashid, Ali Kashif Bashir, Shabir Ahmad Parah
      Pages 35-60

    4. Cloud-Based Glaucoma Diagnosis in Medical Imaging Using Machine Learning

      • R. Dhanalakshmi, Jose Anand, K. Poonkavithai, V. Vijayakumar
      Pages 61-78

    5. Leukocytic Cell Nucleus Identification Using Boundary Cell Detection Algorithm with Dilation and Erosion Based Morphometry

      • Ishfaq Majeed Sheikh, Manzoor Ahmad Chachoo
      Pages 79-102

    6. Effective Prediction of Autism Using Ensemble Method

      • Siddharaj D. Pujari, K. Anusha
      Pages 103-115

  3. Artificial Intelligence (AI) Classification Models for COVID-19 Pandemic

    1. Front Matter

      Pages 117-117
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    2. Automatic Classification of COVID-19 Infected Patients Using Convolution Neural Network Models

      • Suhail Nazeer, Parsa Sarosh, Shabir A. Parah
      Pages 119-131

    3. AI-Based Deep Random Forest Ensemble Model for Prediction of COVID-19 and Pneumonia from Chest X-Ray Images

      • A. Jothi Prabha, N. Venkateswaran, Prabaharan Sengodan
      Pages 133-149

  4. Use of AI-Enabled IoT in Healthcare

    1. Front Matter

      Pages 151-151
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    2. Internet of Things and Artificial Intelligence in Biomedical Systems

      • S. V. K. R. Rajeswari, Vijayakumar Ponnusamy
      Pages 153-177

    3. Role of IoT in Healthcare Sector for Monitoring Diabetic Patients

      • Kumar Gourav, Amanpreet Kaur
      Pages 179-203

  5. Applications of Artificial Intelligence in Healthcare

    1. Front Matter

      Pages 205-205
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    2. Low-Rank Representation Based Approach for Subspace Segmentation and Clustering of Biomedical Image Patterns

      • Ishfaq Majeed Sheikh, Manzoor Ahmad Chachoo
      Pages 207-231

    3. Performance Comparison of Imputation Methods for Heart Disease Prediction

      • Shweta A. Tiwaskar, Prasad Gokhale
      Pages 233-246

    4. Ayurnano: A Solution Towards Herbal Therapeutics Using Artificial Intelligence Approach

      • Shridevi A. Desai, G. Mahitha
      Pages 247-262

    5. Artificial Intelligence in Biomedical Education

      • Samreen Fayaz, Vishal Jagota, Shaik Kamaal
      Pages 263-283

    6. The Emergence of Natural Language Processing (NLP) Techniques in Healthcare AI

      • Rakesh Kumar Attar, Komal
      Pages 285-307

    7. Prospects and Difficulties of Artificial Intelligence (AI) Implementations in Naturopathy

      • Akanksha Verma, Ishrat Naaz
      Pages 309-327
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Keywords

About this book

There are several popular books published in Healthcare Computational Informatics like Computational Bioengineering and Bioinformatics (2020), Springer; Health Informatics (2017), Springer; Health Informatics Vision: From Data via Information to Knowledge (2019), IOS Press; Data Analytics in Biomedical Engineering and Healthcare (2020), Elsevier. However, in all these mentioned books, the challenges in Biomedical Imaging are solved in one dimension by use of any specific technology like Image Processing, Machine Learning or Computer Aided Systems.  In this book, the book it has been attempted to bring all technologies related to computational analytics together and apply them on Biomedical Imaging.

Editors and Affiliations

  • PG Department of Electronics and Instrumentation Technology, University of Kashmir, Srinagar, India

    Shabir Ahmad Parah

  • Department of Computer Engineering, Faculty of Science and Technology, Vishwakarma University, Pune, India

    Mamoon Rashid

  • University of New South Wales, Sydney, Australia

    Vijayakumar Varadarajan

About the editors

Shabir A Parah received his Ph.D. degree in Electronics from the University of Kashmir, Srinagar in 2013 in the field of Image processing. He is currently an Assistant Professor with the Department of Electronics and IT, University of Kashmir. He has authored or co-authored 150+ papers in the journals and conferences of international repute. His fields of interest are multimedia signal processing, secure communication, smart health, IoMT and Spintronics. He is member of many professional organization like IEEE, IAENG, IEA etc.

Mamoon Rashid is Assistant Professor in Department of Computer Engineering, Faculty of Science and Technology, Vishwakarma University, Pune, India. He has published 80+ papers indexed in SCI/SCIE journals and Conferences of International repute. He is a regular contributor to monthly Editorial of CSI Communications and serves as in Editorial Review Board for many journals. His research interests include Big Data Analytics, Machine Learning, Neuro Imaging, & Image Processing.

Vijayakumar Varadarajan is currently an Adjunct Professor in School of Computer Science and Engineering, University of New South Wales, Sydney, Australia. He is also a Data Science Advisor for Brite Yellow Pvt Ltd United Kingdom, He was a Professor and Associate Dean for School of Computing Science and Engineering at VIT University, Chennai, India. He has more than 18 years of experience including industrial and institutional.. He has completed his PhD from Anna University in 2012. He has published many articles in national and international level journals/conferences/books. He has initiated a number of international research collaborations with universities in Europe, Australia, Africa, Malaysia, Singapore and North & South America. His research interests include computational areas covering grid computing, cloud computing, computer networks, cyber security and big data. He is also a member of several national and international professional bodies including IFSA, EAI, BIS, ISTE, IAENG, CSTA, IEA.



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