Public Health Intelligence and the Internet [electronic resource] / edited by Arash Shaban-Nejad, John S. Brownstein, David L. Buckeridge.
Вид матеріалу:
Текст Серія: Lecture Notes in Social NetworksПублікація: Cham : Springer International Publishing : Imprint: Springer, 2017Видання: 1st ed. 2017Опис: XII, 148 p. 36 illus. online resourceТип вмісту: - text
- computer
- online resource
- 9783319686042
- 502.85 23
- R858-R859.7
ЕКнига
Списки з цим бібзаписом:
Springer Ebooks (till 2020 - Open Access)+(2017 Network Access))
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Springer Ebooks (2017 Network Access))
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).
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.
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