Call for paper:

Health data differs from other industries' data in terms of structure, context, importance, volatility, availability, traceability, liquidity, change speed, usage and sources from which it is collected. As medicine is a constantly developing science, healthcare sector also. In this new emerging research area which stands at the intersection of several different discipline such as Medicine, Behavioral Science, Supply Chain Management or Big Data Analytics, techniques, methods, applications and devices are continuously developed to be used for the acquisition, storage, processing, analysis, standardization and optimization of every process in the health sector. As the healthcare sector is so challenging and related data are consistently explosive, healthcare organizations are focusing to become smarter in order to overcome the industry’s inefficiencies to improve quality of care. “To become smarter” requires impeccable data analytics.

The general purpose of this special session in IEEE BigData 2023 conference is to bring together researchers, academicians and sector employees from different fields and disciplines and provide them an independent platform to exchange information on their researches, ideas and findings about healthcare data and its analytics. It is also aimed to encourage debate on how big data can effectively support healthcare in terms of diagnosis, treatment and population health, and to develop a common understanding for research conducted in this multidisciplinary field.

Conference website: http://bigdataieee.org/BigData2023/SpecialSession.html#SpecialSession3

Paper submission page: https://wi-lab.com/cyberchair/2023/bigdata23/index.php

Topics:

Topics of interest include, but are not limited to, the following:

• Health data
• Health data collection and analysis
• Healthcare Information Systems
• Problems in health data processing
• Protection and security of personal health data
• Electronic health records and standards
• Personalized clinical decision support systems
• Medical Imaging Systems
• Medical Applications & Mobile Solutions & E-health Applications
• Wearable health information
• Information solutions developed for the disabled
• E-health Applications
• Pervasive Healthcare Information Systems and Services
• Application of big data analysis in healthcare
• Examples of Health Decision Support Systems in human disease treatment and prevention