Artificial Intelligence (AI) and Big Data in Public Health are transforming the way health data is collected, analyzed, and utilized to improve disease prevention, healthcare delivery, and population health outcomes. Advanced analytics, machine learning, and predictive modeling enable public health professionals to identify disease trends, forecast outbreaks, optimize healthcare resources, and support evidence-based decision-making.
This field integrates computer science, epidemiology, healthcare, and data analytics to develop intelligent systems that enhance public health surveillance and improve healthcare efficiency. Researchers, healthcare providers, technology experts, and policymakers collaborate to harness digital innovations while ensuring data privacy, ethical governance, and equitable access to AI-driven healthcare solutions.
Several specialized areas are studied within Artificial Intelligence and Big Data in Public Health, including:
⦁ Machine Learning in Public Health
⦁ Predictive Disease Modeling
⦁ Big Data Analytics
⦁ Health Data Mining
⦁ AI-Based Disease Surveillance
⦁ Decision Support Systems
⦁ Population Health Analytics
⦁ Ethical AI and Data Governance