International Conference on Epidemiology and Health Data Science (ICEHDS-27)

About the event
• Advanced Health Data Analytics: Discover how to process large-scale Electronic Health Records (EHR), genomic data, and biobank registries using modern programming and analytical frameworks. • AI and Machine Learning in Public Health: Learn how predictive modeling, deep learning, and artificial intelligence are applied to forecast disease outbreaks, identify risk factors, and simulate intervention outcomes. • Modern Epidemiological Methods: Master digital disease surveillance techniques, spatial epidemiology (GIS data), and causal inference methodologies tailored for messy, real-world data sets. • Data Privacy, Ethics, and Governance: Navigate the regulatory landscapes of health data science, including secure data sharing protocols, patient anonymity, and ethical AI deployment. • Digital Health Infrastructure: Explore the development of cloud-based health registries, mobile health data tracking, and real-time surveillance dashboards used by global health agencies.
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SAR 5,100