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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
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