Calls for Papers (special): International Journal of Data Warehousing and Mining (IJDWM)

Special Issue On: Recent Advances in Computational Intelligence in E-Healthcare

Submission Due Date

Guest Editors
Dr. Raghvendra Kumar
Associate Professor, Department of Computer Science and Engineering, GIET University, Gunupur-765022, India

The technological revolution and E-healthcare advances made by combining vast amounts of available data, cloud and mobile computing services, mobile computing, IoT and AI-based solutions can provide expert insight and analysis on a mass scale and at a relatively low cost. Computational intelligence methods such as fuzzy models, soft computing, artificial neural networks, evolutionary algorithms, and probabilistic methods have recently emerged as promising tools for the development and application of intelligent systems in E-healthcare practice. The use of Computational intelligent in e-healthcare can improve the management of clinical disease by introducing intelligent solutions for prevention, diagnosis, treatment, and follow-up, as well for analysis of administrative processes. This Special Issue will present selected examples of the latest research on the application of computational intelligent concepts, approaches, models, methods and methodologies in emerging research. It will cover fundamental concepts and advanced computational intelligent and methods used in research, and ultimately open up opportunities to research and develop new analytical methods and techniques in e-healthcare. The aim of this special issue is to motivate researchers to publish their latest research, up-to-date issues, and challenges in the field of computational intelligent and emerging applications.

The main objective of this special issue is to bring together diverse, novel and impactful research work on Advances in Computational Intelligence in E-Healthcare, thereby accelerating research in this field.

Recommended Topics
  • AI, CNN, DNN for medical image detection, recognition, and segmentation
  • DNN for cancer diagnosis
  • Computational Intelligence approaches for Telemedicine and Telehealth
  • Monitoring e-Health through Wearables and Smart Devices
  • E-Health Intervention Design, Modeling and Evaluation
  • Real-time Explainable AI for medical image and data processing
  • Chronic disease management based IoT
  • COVID-19 Detection and Classification based IoT- systems
  • IoT for Patient tracking, prediction and monitoring
  • AI for biomedicine, genomics, proteomics and socio genomics

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Recent Advances in Computational Intelligence in E-Healthcare on or before September 30th, 2021. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Dr. Raghvendra Kumar
Guest Editor
International Journal of Data Warehousing and Mining (IJDWM)
Email ID: