Public Health Intelligence and the Internet
Springer International Publishing (Verlag)
978-3-319-68602-8 (ISBN)
This book aims to highlight the latest achievements in epidemiological surveillance and internet interventions based on monitoring online communications and interactions on the web. It presents the state of the art and the advances in the field of online disease surveillance and intervention. The edited volume contains extended and revised versions of selected papers presented at the International World Wide Web and Population Health Intelligence (W3PHI) workshop series along with some invited chapters and presents an overview of the issues, challenges, and potentials in the field, along with the new research results. The book provides information for a wide range of scientists, researchers, graduate 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.
Dr. Arash Shaban-Nejad, MS, PhD, MPH Arash Shaban-Nejad is an Assistant Professor in the OAK-Ridge National Lab (ORNL) Center for Biomedical Informatics at the Department of Pediatrics, the University of Tennessee Health Science Center (UTHSC). Before coming to UTHSC, he was a Postdoctoral Fellow of the McGill Clinical and Health Informatics Group at McGill University, where he was conducting research on knowledge modeling/management and informed decision making for several applications in the domains of biomedical and health informatics. He received his Ph.D. and MSc in Computer Science from Concordia University, Montreal and MPH from the University of California, Berkeley. Additional training was accrued at the Harvard School of Public Health. His primary research interest is Population Health Intelligence, Epidemiologic Surveillance and Big-Data Semantic Analytics through the use of tools and techniques from Artificial Intelligence, Knowledge Representation, and Semantic Web. Dr. Shaban-Nejad is also the principal investigator in a global health and development research project for malaria elimination, funded by Bill & Melinda Gates Foundation, and an associate editor of BMC Medical Informatics and Decision Making. Dr. John Brownstein, PhD
Geographical Mapping and Visual analytics for Health Data.- Social Media Analytics.- Epidemic Intelligence.- Predictive modelling and Decision support.- Biomedical Ontologies, terminologies and standard.- Bayesian Networks and Reasoning under Uncertainty.- Temporal and Spatial Representation and Reasoning.- Case-based Reasoning in Healthcare.- Crowdsourcing, and Collective Intelligence.- Risk assessment, Trust, Ethics, and Privacy.- Sentiment Analysis and Opinion Mining.- Computational Behavioral/Cognitive Modeling.- Applications in Epidemiology and Surveillance (e.g. Bioterrorism, Participatory Surveillance).
Erscheinungsdatum | 24.10.2017 |
---|---|
Reihe/Serie | Lecture Notes in Social Networks |
Zusatzinfo | XII, 148 p. 36 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 409 g |
Themenwelt | Mathematik / Informatik ► Informatik |
Medizin / Pharmazie | |
Technik | |
Schlagworte | Computer Science • Crisis Management in Health Informatics • Decision Making in Health Informatics • Disease Spread Internet Tools • Epidemiology & medical statistics • Epidemiology & medical statistics • Health & safety aspects of IT • health data analytics • Health Informatics • Health & safety aspects of IT • Information technology: general issues • Mathematics in the Humanities and Social Sciences • Maths for scientists • Medical equipment & techniques • Medical equipment & techniques • Online Epidemic Intelligence • Online Health Social Networking • probability & statistics • Probability & statistics • Public Health • Public health & preventive medicine • Public health & preventive medicine • Public Health Surveillance • Social Media Disease • Statistics for Life Sciences, Medicine, Health Sci |
ISBN-10 | 3-319-68602-X / 331968602X |
ISBN-13 | 978-3-319-68602-8 / 9783319686028 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich