Coverart for item
The Resource Public health intelligence and the internet, Arash Shaban-Nejad, John S. Brownstein, David L. Buckeridge, editors

Public health intelligence and the internet, Arash Shaban-Nejad, John S. Brownstein, David L. Buckeridge, editors

Label
Public health intelligence and the internet
Title
Public health intelligence and the internet
Statement of responsibility
Arash Shaban-Nejad, John S. Brownstein, David L. Buckeridge, editors
Contributor
Editor
Subject
Language
eng
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
Member of
Cataloging source
N$T
Dewey number
  • 614.40285
  • 004
Index
no index present
LC call number
RA566
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Shaban-Nejad, Arash
  • Brownstein, John S.
  • Buckeridge, David L.
Series statement
Lecture notes in social networks,
http://library.link/vocab/subjectName
  • Public health
  • Medical informatics
  • Medical Informatics
Label
Public health intelligence and the internet, Arash Shaban-Nejad, John S. Brownstein, David L. Buckeridge, editors
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Preface; Contents; Contributors; Abbreviations; 1 Public Health Intelligence and the Internet: Current State of the Art; Abstract; 1 Introduction; 2 Digital Public Health; 2.1 Health Surveillance: Epidemic Detection; 2.2 Global Health Surveillance; 2.3 Behavior Monitoring and Sentiment Assessment; 2.4 Public Health Communication; 2.5 Health Intervention; 3 Online Clinical Trials; 3.1 Historical Trajectory of Online Clinical Trials; 3.2 Diversification of Online Clinical Trials; 3.3 Funding Sources and Disease Networks; 3.4 Digital Clinical Trials
  • 4 Remaining Issues in Digital Public Health Intelligence5 Conclusion; References; 2 Social Health Records: Gaining Insights into Public Health Behaviors, Emotions, and Disease Trajectories; Abstract; 1 Introduction; 2 Related Works; 3 Multiple Data Sources; 4 Social Health Knowledge Graph; 4.1 Social Health Record Model; 5 Architecture of Social Health Analytics Platform; 6 Social Public Health Analytics; 6.1 Social InfoButtons; 6.2 Sentiment Analytics to Monitor Public Health Concerns; 6.3 Comorbidity Prediction and Trajectory Analysis; 7 Conclusions; Acknowledgements; References
  • 3 Using Dynamic Bayesian Networks for Incorporating Nontraditional Data Sources in Public Health SurveillanceAbstract; 1 Introduction; 2 Traditional and Nontraditional Data Sources for Influenza Surveillance; 3 Dynamic Bayesian Networks; 4 Data; 5 Methods; 6 Results; 7 Discussion; 8 Conclusions and Future Work; Acknowledgements; References; 4 Post Classification and Recommendation for an Online Smoking Cessation Community; Abstract; 1 Introduction; 2 Related Works; 3 Research Goals; 3.1 Classification; 3.2 Recommendation; 4 Approaches; 4.1 Classification; Feature Sets; Classification Model
  • 4.2 RecommendationNeighbor-Based Collaborative Filtering; Integrating Classification Result; 5 Results; 5.1 Classification; Classification of Intentions; Classification of Social Support Types; 5.2 Recommendation; 6 Conclusion; References; 5 Hashtag Mining: Discovering Relationship Between Health Concepts and Hashtags; Abstract; 1 Introduction; 2 Related Studies; 3 Methodology and Dataset; 3.1 Distributed Representations of Words; 3.2 Building Word-Embedding Vector Model; 3.3 Identifying Relevant Hashtags or Keywords; 4 Experiment; 5 Conclusion; References
  • 6 Studying Military Community Health, Well-Being, and Discourse Through the Social Media LensAbstract; 1 Introduction; 2 Research Questions; 3 Background and Related Work; 3.1 Characteristics of the US Military Population; 3.2 Studies of Military Populations; 3.3 Understanding Populations Through Social Media; 4 Data; 4.1 Data Anonymization; 4.2 Sampling Military Users on Twitter; 5 Analysis and Results; 5.1 RQ1: Differences in Social Media Activities of Military Versus Control; 5.2 RQ2: Differences in Language Use Between Military and Control; Differences in Linguistic Attributes
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9783319686042
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Reformatting quality
preservation
Sound
unknown sound
Specific material designation
remote
System control number
on1004225483
Label
Public health intelligence and the internet, Arash Shaban-Nejad, John S. Brownstein, David L. Buckeridge, editors
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Preface; Contents; Contributors; Abbreviations; 1 Public Health Intelligence and the Internet: Current State of the Art; Abstract; 1 Introduction; 2 Digital Public Health; 2.1 Health Surveillance: Epidemic Detection; 2.2 Global Health Surveillance; 2.3 Behavior Monitoring and Sentiment Assessment; 2.4 Public Health Communication; 2.5 Health Intervention; 3 Online Clinical Trials; 3.1 Historical Trajectory of Online Clinical Trials; 3.2 Diversification of Online Clinical Trials; 3.3 Funding Sources and Disease Networks; 3.4 Digital Clinical Trials
  • 4 Remaining Issues in Digital Public Health Intelligence5 Conclusion; References; 2 Social Health Records: Gaining Insights into Public Health Behaviors, Emotions, and Disease Trajectories; Abstract; 1 Introduction; 2 Related Works; 3 Multiple Data Sources; 4 Social Health Knowledge Graph; 4.1 Social Health Record Model; 5 Architecture of Social Health Analytics Platform; 6 Social Public Health Analytics; 6.1 Social InfoButtons; 6.2 Sentiment Analytics to Monitor Public Health Concerns; 6.3 Comorbidity Prediction and Trajectory Analysis; 7 Conclusions; Acknowledgements; References
  • 3 Using Dynamic Bayesian Networks for Incorporating Nontraditional Data Sources in Public Health SurveillanceAbstract; 1 Introduction; 2 Traditional and Nontraditional Data Sources for Influenza Surveillance; 3 Dynamic Bayesian Networks; 4 Data; 5 Methods; 6 Results; 7 Discussion; 8 Conclusions and Future Work; Acknowledgements; References; 4 Post Classification and Recommendation for an Online Smoking Cessation Community; Abstract; 1 Introduction; 2 Related Works; 3 Research Goals; 3.1 Classification; 3.2 Recommendation; 4 Approaches; 4.1 Classification; Feature Sets; Classification Model
  • 4.2 RecommendationNeighbor-Based Collaborative Filtering; Integrating Classification Result; 5 Results; 5.1 Classification; Classification of Intentions; Classification of Social Support Types; 5.2 Recommendation; 6 Conclusion; References; 5 Hashtag Mining: Discovering Relationship Between Health Concepts and Hashtags; Abstract; 1 Introduction; 2 Related Studies; 3 Methodology and Dataset; 3.1 Distributed Representations of Words; 3.2 Building Word-Embedding Vector Model; 3.3 Identifying Relevant Hashtags or Keywords; 4 Experiment; 5 Conclusion; References
  • 6 Studying Military Community Health, Well-Being, and Discourse Through the Social Media LensAbstract; 1 Introduction; 2 Research Questions; 3 Background and Related Work; 3.1 Characteristics of the US Military Population; 3.2 Studies of Military Populations; 3.3 Understanding Populations Through Social Media; 4 Data; 4.1 Data Anonymization; 4.2 Sampling Military Users on Twitter; 5 Analysis and Results; 5.1 RQ1: Differences in Social Media Activities of Military Versus Control; 5.2 RQ2: Differences in Language Use Between Military and Control; Differences in Linguistic Attributes
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9783319686042
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Reformatting quality
preservation
Sound
unknown sound
Specific material designation
remote
System control number
on1004225483

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