International Conference on Epidemiology and Health Data Science (ICEHDS-26)

About the event

*Advances in epidemiological methods and population health research *Applications of health data science in disease prevention and public health *Big data analytics for understanding health outcomes and disease patterns *Use of machine learning and artificial intelligence in epidemiological research *Biostatistical methods for analyzing health and clinical data *Predictive analytics for disease risk assessment and prevention *Epidemiological applications of electronic health records (EHRs) *Health data integration, management, and interoperability *Data visualization techniques for communicating epidemiological findings *Public health surveillance and real-time health data analysis *Disease modeling and analysis of population-level health trends *Data-driven approaches to health policy and decision-making *Ethical considerations surrounding health data use, privacy, and security *Challenges in health data collection, quality, and interpretation *Collaborative data sharing and interdisciplinary approaches to public health research *Emerging technologies and future trends in epidemiology and health data science.