Preface
Shaban-Nejad, Arash (McGill University Faculty of Medicine) | Buckeridge, David L. (McGill University Faculty of Medicine) | Brownstein, John S. (Harvard University)
This workshop aims to bring together a wide range of computer scientists, biomedical and health informaticians, researchers, students, industry professionals, national and international public health agencies, and NGOs interested in the theory and practice of computational models of web-based public health intelligence to highlight the latest achievements in epidemiological surveillance based on monitoring online communications and interactions on the World Wide Web. The workshop includes contributions on theory, methods, systems, and applications of data mining, machine learning, databases, natural language processing, knowledge representation, artificial intelligence, semantic web, and big data analytics in web-based health-care applications, with focus on public health.
- Industry:
- Health & Medicine > Public Health (1.00)
- Technology:
- Information Technology
- Artificial Intelligence > Natural Language (0.87)
- Communications > Web (0.53)
- Data Science > Data Mining
- Big Data (0.53)
- Information Technology