Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Data science applications in epidemiology
- Big data and health outcomes analysis
- Machine learning in health data research
- Epidemiology of health data privacy issues
- Health informatics and epidemiological insights
- Predictive analytics in public health
- Data visualization techniques in epidemiology
- Integration of health data sources
- Challenges in health data collection
- Epidemiological research using electronic health records
- Data-driven decision making in healthcare
- Role of AI in health data science
- Ethics of data use in epidemiology
- Health data interoperability and standards
- Community health data initiatives
- Impact of data on health policy
- Future trends in health data science
- Collaborative data sharing in public health
- Epidemiology of data-driven health interventions
- Innovative methodologies in health data research
All papers must be original and not previously published or submitted elsewhere.
