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  • Conference proceedings
  • © 2023

Proceedings of the International Health Informatics Conference

IHIC 2022

  • Comprises peer-reviewed proceedings of the conference IHIC 2022

  • Discusses the most pressing demand of today's health informatics: perspectives, applications, and their deployment

  • Provides an overview of the latest research in the intersection of health and computer science

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 990)

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Table of contents (34 papers)

  1. Front Matter

    Pages i-xxviii
  2. Development of Healthcare System Using Soft Computing Methods

    • Pallavi Mishra, Sachi Nandan Mohanty
    Pages 1-11
  3. A Study of Deep Learning Algorithms in Sentiment Analysis of Diverse Domains

    • Jutla Tanmaiyee, Ramya Sri Sushma Vasamsetti, Vangala Sai Pallavi, Mukta Jagdish
    Pages 23-30
  4. Frequency Allocation in Cognitive Radio Networks

    • Vemula Greeshma, Chennaboina Rahul, Vemula Harini
    Pages 31-39
  5. An IOT-Based Advanced Health Monitoring System

    • Ghaatki Vaishnavi, Ramavath Kavitha, E. Vijaya Babu
    Pages 41-52
  6. Fault Tolerance in Vehicular Cloud Networks: Link Failure and Malicious Node Detection and Reconfiguration

    • Sandeep N. Kugali, Bibhu Kalyan Mishra, Sneha Kadadevar, Piyush Kumar Pareek, Malaya Malla
    Pages 53-67
  7. Multi-filter Enhanced Doctor and Patient Optimization Algorithm for Cancer Diagnosis

    • Bibhuprasad Sahu, Saroja Kumar Rout, J. V. R. Ravindra, Sachi Nandan Mohanty
    Pages 69-78
  8. Disease Diagnostic Model Using Fine-Tuned Intensive Learning for Medical Image

    • Prasanalakshmi Balaji, Prabha Selvaraj, Vijay Kumar Burugari, Kanmani Palaniappan
    Pages 79-90
  9. Challenges in Digital Health Care—A Hybrid-Decision Approach Understanding Key Challenges in India

    • Sachi Nandan Mohanty, Tilottama Singh, Richa Goel, Sukanta Kumar Baral
    Pages 91-101
  10. Telemedicine and Healthcare Setting for Remote Care of Patients: Status and Future Implications

    • Sachi Nandan Mohanty, Venaik Anita, Sukanta Kumar Baral, Richa Goel, Tilottama Singh
    Pages 103-112
  11. Telemedicine: Enhancing and Reimagining the Public Health in India

    • Shweta Pandey, Abhishek Jha, Anjali Jha, Anurag Lokhande, Zahara Khan, Ulhas W. Karkhanis et al.
    Pages 121-134
  12. Prediction and Comparative Analysis of Few Most Impacted Countries by Coronavirus

    • Simran Khanna, Meenal Garg, Seema Aggarwal, Hardeo Kumar Thakur
    Pages 149-159
  13. An Efficient Method for Skin Cancer Detection Using Convolutional Neural Network

    • C. Sreelakshmi, V. Adithya, R. Rajesh
    Pages 161-165
  14. Collective Behavior in Community-Structured Network and Epidemic Dynamics

    • Kirti Jain, Vasudha Bhatnagar, Sharanjit Kaur
    Pages 167-183
  15. COVID-19 Prediction from CT and X-Ray Scan Images: A Review

    • Prashant Kumar, Jagdeep Kaur
    Pages 199-214
  16. Design of a Prototypic Mental Health Ontology for Sentiment Analysis of Tweets

    • Deepika Chaudhary, Jaiteg Singh, Puneet Kaur
    Pages 215-224

About this book

This book will constitute the proceedings of the International Health Informatics Conference (IHIC 2022). This volume focus on artificial intelligence, machine learning, and deep learning approach with their automated intelligent cognitive knowledge as an assisting tool to the existing healthcare tools. The topics covered in this volume are data mining, patient electronic health records, healthcare portals, telemedicine, automatic identification and data collector systems, RFID and localization techniques, usability and ubiquity in e-Health, artificial intelligence for healthcare decision-making, etc. This volume will prove a valuable resource for those in academia and industry.


  • Health Informatics
  • Semantic Intelligence
  • Data Mining and Clinical Studies
  • IHIC 2022
  • Remote Patient Monitoring
  • IHIC Proceedings
  • Big Data Analytics in Biomedical Services
  • Deep Learning in Medicine
  • Deep Learning-based Clinical Decision Making

Editors and Affiliations

  • National Institute of Technology Kurukshetra, Kurukshetra, India

    Sarika Jain

  • University of Lübeck, Lübeck, Germany

    Sven Groppe

  • MIT-IBM Watson AI Lab, Cambridge, USA

    Nandana Mihindukulasooriya

About the editors

Sarika Jain graduated from Jawaharlal Nehru University (India) in 2001. Her doctorate, awarded in 2011, is in the field of knowledge representation in Artificial Intelligence. She has served in the field of education for over 21 years and is currently in service at the National Institute of Technology Kurukshetra (Institute of National Importance), India. Dr. Jain has authored or co-authored over 150 publications including authored and edited books. She has been a PI of projects sponsored by AICTE, DRDO, DST, and MHRD. Among the awards and honors, she has received are the Best Paper Award and the Best Faculty Award. She works in collaboration with various researchers across the globe and has been involved as a program and steering committee member at many prestigious conferences in India and abroad. Dr. Jain is a senior member of the IEEE, a member of ACM, and a Life Member of CSI.

Sven Groppe is a Professor at the University of Lübeck, Germany. His publication record contains over 100 publications, including the book Data Management and Query Processing in Semantic Web Databases, published by Springer. He was a member of the DAWG W3C Working Group, which developed SPARQL. He was the project leader of the DFG project LUPOSDATE and two research projects on FPGA acceleration of relational and Semantic Web databases and is a member of the Hardware Accelerator Research Program by Intel. He is currently the project leader of German Research Foundation projects on GPU accelerated database indices and the Semantic Internet of Things. Furthermore, he is leading a project about quantum computer accelerated database optimizations and he is a project partner in a project about COVID-19 high-quality knowledge graphs, visualizations, and analysis of the pandemic. He is also the chair of various workshops (SBD, VLIoT, BiDEDE) at the ACM SIGMOD and VLDB conferences, and the general chair of the International Semantic Intelligence Conference (ISIC) in 2021 and 2022. His research interests include the Internet of Things, Semantic Web, query and rule processing and optimization, Big Data, Cloud Computing, peer-to-peer (P2P) networks, data visualization, and visual query languages.

Nandana Mihindukulasooriya is a research scientist at MIT-IBM Watson AI Research Lab, USA. Nandana holds a master's in Software Engineering and a Ph.D. in Artificial Intelligence. He has published over 60 peer-reviewed publications in highly reputed journals, conferences, and workshops related to topics such as Semantic Web and Knowledge Graphs, Neural-Symbolic AI, Knowledge Base Question Answering, Knowledge Induction from text, and information extraction. Before joining IBM, Nandana was a member of Ontology Engineering Group, Universidad Politécnica de Madrid (Spain) a leading European research group that is widely recognized in the areas of Ontology Engineering, Semantic Infrastructure, Linked Data, and Data Integration. He participated in several European research projects and Spanish national projects. Nandana has a keen interest in open-source and contributes to several open-source projects. Currently, he serves as a committee and a Project Management Committee (PMC) member of Apache Axis and Apache Web Services projects of Apache Software Foundation. He was also a speaker at ApacheCon US and ApacheCon Europe. Nandana is a senior member of the IEEE and a member of ACM and AAAI.

Bibliographic Information

  • Book Title: Proceedings of the International Health Informatics Conference

  • Book Subtitle: IHIC 2022

  • Editors: Sarika Jain, Sven Groppe, Nandana Mihindukulasooriya

  • Series Title: Lecture Notes in Electrical Engineering

  • DOI:

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023

  • Hardcover ISBN: 978-981-19-9089-2Published: 19 May 2023

  • Softcover ISBN: 978-981-19-9092-2Due: 02 June 2024

  • eBook ISBN: 978-981-19-9090-8Published: 18 May 2023

  • Series ISSN: 1876-1100

  • Series E-ISSN: 1876-1119

  • Edition Number: 1

  • Number of Pages: XXVIII, 406

  • Number of Illustrations: 60 b/w illustrations, 147 illustrations in colour

  • Topics: Computer Applications, Computational Intelligence, Artificial Intelligence, Statistics, general

Buy it now

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access