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Public Health Intelligence and the Internet / edited by Arash Shaban-Nejad, John S. Brownstein, David L. Buckeridge.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Shaban-Nejad, Arash, editor.
Brownstein, John S., editor.
Buckeridge, David L., editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in social networks 2190-5428
Lecture Notes in Social Networks, 2190-5428
Language:
English
Subjects (All):
Medical informatics.
Public health.
Mathematics.
Social sciences.
Statistics.
Health Informatics.
Public Health.
Mathematics in the Humanities and Social Sciences.
Statistics for Life Sciences, Medicine, Health Sciences.
Local Subjects:
Health Informatics.
Public Health.
Mathematics in the Humanities and Social Sciences.
Statistics for Life Sciences, Medicine, Health Sciences.
Physical Description:
1 online resource (XII, 148 pages) : 36 illustrations.
Edition:
First edition 2017.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
System Details:
text file PDF
Summary:
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.
Contents:
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).
Other Format:
Printed edition:
ISBN:
978-3-319-68604-2
9783319686042
Access Restriction:
Restricted for use by site license.

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