000799890 000__ 05482cam\a2200505Ii\4500
000799890 001__ 799890
000799890 005__ 20230306143650.0
000799890 006__ m\\\\\o\\d\\\\\\\\
000799890 007__ cr\un\nnnunnun
000799890 008__ 170918s2017\\\\sz\\\\\\o\\\\\000\0\eng\d
000799890 020__ $$a9783319686042$$q(electronic book)
000799890 020__ $$a3319686046$$q(electronic book)
000799890 020__ $$z9783319686028
000799890 035__ $$aSP(OCoLC)on1004225483
000799890 035__ $$aSP(OCoLC)1004225483
000799890 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dEBLCP$$dGW5XE$$dN$T$$dOCLCF$$dYDX$$dNJR
000799890 049__ $$aISEA
000799890 050_4 $$aRA566
000799890 08204 $$a614.40285$$223
000799890 08204 $$a004
000799890 24500 $$aPublic health intelligence and the internet /$$cArash Shaban-Nejad, John S. Brownstein, David L. Buckeridge, editors.
000799890 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000799890 300__ $$a1 online resource.
000799890 336__ $$atext$$btxt$$2rdacontent
000799890 337__ $$acomputer$$bc$$2rdamedia
000799890 338__ $$aonline resource$$bcr$$2rdacarrier
000799890 4901_ $$aLecture notes in social networks,$$x2190-5428
000799890 5050_ $$aPreface; Contents; Contributors; Abbreviations; 1 Public Health Intelligence and the Internet: Current State of the Art; Abstract; 1 Introduction; 2 Digital Public Health; 2.1 Health Surveillance: Epidemic Detection; 2.2 Global Health Surveillance; 2.3 Behavior Monitoring and Sentiment Assessment; 2.4 Public Health Communication; 2.5 Health Intervention; 3 Online Clinical Trials; 3.1 Historical Trajectory of Online Clinical Trials; 3.2 Diversification of Online Clinical Trials; 3.3 Funding Sources and Disease Networks; 3.4 Digital Clinical Trials
000799890 5058_ $$a4 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
000799890 5058_ $$a3 Using Dynamic Bayesian Networks for Incorporating Nontraditional Data Sources in Public Health SurveillanceAbstract; 1 Introduction; 2 Traditional and Nontraditional Data Sources for Influenza Surveillance; 3 Dynamic Bayesian Networks; 4 Data; 5 Methods; 6 Results; 7 Discussion; 8 Conclusions and Future Work; Acknowledgements; References; 4 Post Classification and Recommendation for an Online Smoking Cessation Community; Abstract; 1 Introduction; 2 Related Works; 3 Research Goals; 3.1 Classification; 3.2 Recommendation; 4 Approaches; 4.1 Classification; Feature Sets; Classification Model
000799890 5058_ $$a4.2 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
000799890 5058_ $$a6 Studying Military Community Health, Well-Being, and Discourse Through the Social Media LensAbstract; 1 Introduction; 2 Research Questions; 3 Background and Related Work; 3.1 Characteristics of the US Military Population; 3.2 Studies of Military Populations; 3.3 Understanding Populations Through Social Media; 4 Data; 4.1 Data Anonymization; 4.2 Sampling Military Users on Twitter; 5 Analysis and Results; 5.1 RQ1: Differences in Social Media Activities of Military Versus Control; 5.2 RQ2: Differences in Language Use Between Military and Control; Differences in Linguistic Attributes
000799890 506__ $$aAccess limited to authorized users.
000799890 520__ $$aThis book aims to highlight the latest achievements in epidemiological surveillance and internet interventions based on monitoring online communications and interactions on the web. It presents the state of the art and the advances in the field of online disease surveillance and intervention. The edited volume contains extended and revised versions of selected papers presented at the International World Wide Web and Population Health Intelligence (W3PHI) workshop series along with some invited chapters and presents an overview of the issues, challenges, and potentials in the field, along with the new research results. The book provides information for a wide range of scientists, researchers, graduate students, industry professionals, national and international public health agencies, and NGOs interested in the theory and practice of computational models of web-based public health intelligence.
000799890 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 26, 2017).
000799890 650_0 $$aPublic health$$xData processing.
000799890 650_0 $$aMedical informatics.
000799890 7001_ $$aShaban-Nejad, Arash,$$eeditor.
000799890 7001_ $$aBrownstein, John S.,$$eeditor.
000799890 7001_ $$aBuckeridge, David L.,$$eeditor.
000799890 830_0 $$aLecture notes in social networks.
000799890 852__ $$bebk
000799890 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-68604-2$$zOnline Access$$91397441.1
000799890 909CO $$ooai:library.usi.edu:799890$$pGLOBAL_SET
000799890 980__ $$aEBOOK
000799890 980__ $$aBIB
000799890 982__ $$aEbook
000799890 983__ $$aOnline
000799890 994__ $$a92$$bISE