Special Session
Special Session on
Big Data Analytics in Artificial Intelligence for Improving Healthcare Services -
BDA_AI
2025
4 - 6 April, 2025 - Porto, Portugal
Within the 27th International Conference on Enterprise Information Systems - ICEIS 2025
* CANCELLED *
CHAIR
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Tiko Iyamu
Cape Peninsula University of Technology
South Africa
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Brief Bio
Tiko Iyamu is Professor of Information Technology at the Cape Peninsula University of Technology, South Africa. His areas of focus include enterprise architecture, health informatics, big data analytics, and mobile computing. Professor Iyamu has authored nine books, which include Applying Theories for Information Systems Research; Enterprise Architecture for Strategic Management of Modern IT Solutions; The Concept of Enterprise Architecture from Theory to Practice; and Advancing Big Data Analytics for Healthcare Service Delivery. He has edited five books and authored more than one hundred and ninety peer-reviewed research articles in a wide range of Journal outlets, Conference Proceedings, and book chapters. Iyamu is affiliated with the Research Councils on two continents, focusing on health informatics. He is an associate editor of the Journal: Education and Information Technologies (EAIT); The African Journal of Information Systems (AJIS), and a pioneer Associate Editor of the International Journal of Actor-Network Theory and Technological Innovation (IJANTTI). Iyamu has received several awards in research and excellence in the supervision of postgraduate students.
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SCOPE
The workshop explores the increasing application of big data analytics (BDA), in improving response time, patient-based service, detecting and mitigating diseases, and generating new insights into spreading diseases. BDA gives vast possibilities to gain insight into historical data, the ability to predict the future, and demonstrates the variety of specimens and their momentum, which are evidence-based using artificial intelligence (AI). The application of AI in healthcare spans a wide spectrum including disease treatment, disease diagnosis and prognosis, patient care, drug design, real-time health monitoring, health systems management and planning, and health systems governance. Big data, in its broad form, is central to the application of AI in healthcare.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
- Emerging Strategies to Advance Big Data Analytics in Healthcare
- Advanced Trends in Big Data Analytics Techniques to Enhance Healthcare
- Big Data Analytics Decision Support for Healthcare Services
- Human Interactive of Innovative Systems for Healthcare
- Integration of Big Data Analytics with Health Information Systems
- Transforming the Traditional Health Information Systems into Big Data Analytics Systems
- Artificial Intelligence Use of Big Data for Healthcare Services
- Strategies and Techniques of Big Data Analytics and AI, to Enhance Services
- Machine Learning Approaches in Healthcare and Medicine
- AI in Medical Imaging
IMPORTANT DATES
Paper Submission:
January 30, 2025
Authors Notification:
February 13, 2025
Camera Ready and Registration:
February 21, 2025
SPECIAL SESSION PROGRAM COMMITTEE
Tabisa Ncubukezi,
Cape Peninsula University, South Africa
Tembisa Ngqondi,
Cape Peninsula University, South Africa
Olumide Olayinka Obe,
School of Computing, Federal University of Technology, Nigeria
Kenneth Ohei,
Cape Peninsula University, South Africa
Adelakun Olayele,
DePaul University, United States
Irja Shaanika,
Namibia University of Technology, Namibia
Fen Wang,
Central Washington University, United States
(list not yet complete)
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library