Role of Online Data from Search Engine and Social Media in Healthcare Informatics
暂无分享,去创建一个
M. Saqib Nawaz | Raza Ul Mustafa | M. Ikram Ullah Lali | M. I. Lali | Raza ul Mustafa | M. Nawaz | M. S. Nawaz | Raza Ul Mustafa | M. Ikram | Ullah Lali
[1] Jieping Ye,et al. Tuberculosis Surveillance by Analyzing Google Trends , 2011, IEEE Transactions on Biomedical Engineering.
[2] Wendy W. Chapman,et al. Analysis of Web Access Logs for Surveillance of Influenza , 2004, MedInfo.
[3] S. Magruder. Evaluation of Over-the-Counter Pharmaceutical Sales As a Possible Early Warning Indicator of Human Disease , 2003 .
[4] A. Flahault,et al. More Diseases Tracked by Using Google Trends , 2009, Emerging infectious diseases.
[5] Omar El Beqqali,et al. Harnessing Semantic Features for Large-Scale Content-Based Hashtag Recommendations on Microblogging Platforms , 2017 .
[6] Sotiris B. Kotsiantis,et al. Supervised Machine Learning: A Review of Classification Techniques , 2007, Informatica.
[7] Chang-Gun Lee,et al. Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea , 2016, Journal of medical Internet research.
[8] Bernardo A. Huberman,et al. Predicting the Future with Social Media , 2010, Web Intelligence.
[9] Terry Kind,et al. Social Media and Clinical Care: Ethical, Professional, and Social Implications , 2013, Circulation.
[10] Justin Zhijun Zhan,et al. Sentiment analysis using product review data , 2015, Journal of Big Data.
[11] George Forman,et al. Learning from Little: Comparison of Classifiers Given Little Training , 2004, PKDD.
[12] Kara Dawson,et al. Protected Health Information on Social Networking Sites: Ethical and Legal Considerations , 2011, Journal of medical Internet research.
[13] Mowafa Said Househ,et al. The Use of Social Media in Healthcare: Organizational, Clinical, and Patient Perspectives , 2013, ITCH.
[14] Basit Shahzad,et al. Maximization of Tweet's viewership with respect to time , 2014, 2014 World Symposium on Computer Applications & Research (WSCAR).
[15] Stephen S Morse,et al. Public health surveillance and infectious disease detection. , 2012, Biosecurity and bioterrorism : biodefense strategy, practice, and science.
[16] Claire Cardie,et al. Early Stage Influenza Detection from Twitter , 2013, ArXiv.
[17] Yiqun Liu,et al. Predicting Epidemic Tendency through Search Behavior Analysis , 2011, IJCAI.
[18] Taghi M. Khoshgoftaar,et al. Deep learning applications and challenges in big data analytics , 2015, Journal of Big Data.
[19] Sushruta Mishra,et al. Impact of Swarm Intelligence Techniques in Diabetes Disease Risk Prediction , 2016, Int. J. Knowl. Discov. Bioinform..
[20] Ram Gopal Raj,et al. An application of case-based reasoning with machine learning for forensic autopsy , 2014, Expert Syst. Appl..
[21] Umar Saif,et al. FluBreaks: early epidemic detection from Google flu trends. , 2012, Journal of medical Internet research.
[22] Arjun Mukherjee,et al. Spotting fake reviewer groups in consumer reviews , 2012, WWW.
[23] Basit Shahzad,et al. When are Tweets Better Valued? An Empirical Study , 2014, J. Univers. Comput. Sci..
[24] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[25] Trevor Strome,et al. “Google Flu Trends” and Emergency Department Triage Data Predicted the 2009 Pandemic H1N1 Waves in Manitoba , 2011, Canadian journal of public health = Revue canadienne de sante publique.
[26] Davis Jh,et al. Continuing education electronic bulletin board system: provider readiness and interest. , 1990 .
[27] Nigel Collier,et al. Uncovering text mining: A survey of current work on web-based epidemic intelligence , 2012, Global public health.
[28] C. L. Ventola. Social media and health care professionals: benefits, risks, and best practices. , 2014, P & T : a peer-reviewed journal for formulary management.
[29] David M. Pennock,et al. Using internet searches for influenza surveillance. , 2008, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[30] G. Eysenbach,et al. Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak , 2010, PloS one.
[31] A. Hulth,et al. Web Queries as a Source for Syndromic Surveillance , 2009, PloS one.
[32] Son Doan,et al. BioCaster: detecting public health rumors with a Web-based text mining system , 2008, Bioinform..
[33] Eleftherios Mylonakis,et al. Google trends: a web-based tool for real-time surveillance of disease outbreaks. , 2009, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[34] Ralph Grishman,et al. Information extraction for enhanced access to disease outbreak reports , 2002, J. Biomed. Informatics.
[35] Christopher J. C. Burges,et al. A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.
[36] Yutaka Matsuo,et al. Earthquake shakes Twitter users: real-time event detection by social sensors , 2010, WWW '10.
[37] David Lazer,et al. Twitter: big data opportunities--response. , 2014, Science.
[38] Louis Leung. Internet Embeddedness: Links with Online Health Information Seeking, Expectancy Value/Quality of Health Information Websites, and Internet Usage Patterns , 2008, Cyberpsychology Behav. Soc. Netw..
[39] Kim-Fung Man,et al. Cardiovascular diseases identification using electrocardiogram health identifier based on multiple criteria decision making , 2015, Expert Syst. Appl..
[40] Johan Bollen,et al. Twitter mood predicts the stock market , 2010, J. Comput. Sci..
[41] Jae Ho Lee,et al. Correlation between National Influenza Surveillance Data and Google Trends in South Korea , 2013, PloS one.
[42] Lillian Lee,et al. Opinion Mining and Sentiment Analysis , 2008, Found. Trends Inf. Retr..
[43] Monika Henzinger. The Past, Present, and Future of Web Search Engines p , 2004, ICALP.
[44] Sotiris Kotsiantis,et al. Text Classification Using Machine Learning Techniques , 2005 .
[45] John H. Gerdes,et al. Using web-based search data to predict macroeconomic statistics , 2005, CACM.
[46] Claire Cardie,et al. Adapting a Polarity Lexicon using Integer Linear Programming for Domain-Specific Sentiment Classification , 2009, EMNLP.
[47] Qaiser Abbas,et al. Comparative Study of Feature Selection Approaches for Urdu Text Categorization , 2015 .
[48] Gerard Salton,et al. Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..
[49] Alberto Maria Segre,et al. The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic , 2011, PloS one.
[50] Jeremy Ginsberg,et al. Detecting influenza epidemics using search engine query data , 2009, Nature.
[51] Vincent S. Tseng,et al. Paramaterless Clustering Techniques for Gene Expression Analysis , 2006 .
[52] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[53] Aron Culotta,et al. Towards detecting influenza epidemics by analyzing Twitter messages , 2010, SOMA '10.
[54] D. Lazer,et al. The Parable of Google Flu: Traps in Big Data Analysis , 2014, Science.
[55] E. Gabrilovich,et al. Postmarket Drug Surveillance Without Trial Costs: Discovery of Adverse Drug Reactions Through Large-Scale Analysis of Web Search Queries , 2013, Journal of medical Internet research.
[56] Lei Zhang,et al. A Survey of Opinion Mining and Sentiment Analysis , 2012, Mining Text Data.
[57] Matthew Mohebbi,et al. Assessing Google Flu Trends Performance in the United States during the 2009 Influenza Virus A (H1N1) Pandemic , 2011, PloS one.