Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare | 0 | 0.34 | 2021 |
Digital epidemiology and the COVID-19 pandemic | 0 | 0.34 | 2021 |
Seven pillars of precision digital health and medicine | 0 | 0.34 | 2020 |
Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan. | 0 | 0.34 | 2018 |
Predicting social response to infectious disease outbreaks from internet-based news streams. | 0 | 0.34 | 2018 |
What to know before forecasting the flu. | 0 | 0.34 | 2018 |
Demographics in Social Media Data for Public Health Research: Does it matter? | 1 | 0.34 | 2017 |
Advances in using Internet searches to track dengue. | 2 | 0.40 | 2017 |
Forecasting rare disease outbreaks from open source indicators. | 0 | 0.34 | 2017 |
Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources. | 0 | 0.34 | 2017 |
GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources | 0 | 0.34 | 2017 |
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. | 0 | 0.34 | 2017 |
Disease Surveillance on Complex Social Networks. | 0 | 0.34 | 2016 |
Designing Domain Specific Word Embeddings: Applications to Disease Surveillance. | 0 | 0.34 | 2016 |
Temporal Topic Modeling To Assess Associations Between News Trends And Infectious Disease Outbreaks | 0 | 0.34 | 2016 |
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach | 7 | 0.52 | 2016 |
Monitoring Discussion of Vaccine Adverse Events in the Media: Opportunities from the Vaccine Sentimeter. | 0 | 0.34 | 2016 |
Reports of the 2016 AAAI Workshop Program. | 0 | 0.34 | 2016 |
Model-Based Forecasting of Significant Societal Events | 4 | 0.41 | 2015 |
Enhancing disease surveillance with novel data streams: challenges and opportunities | 8 | 0.58 | 2015 |
Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction | 6 | 0.57 | 2015 |
Combining Search, Social Media, And Traditional Data Sources To Improve Influenza Surveillance | 36 | 2.04 | 2015 |
Ethical Challenges Of Big Data In Public Health | 13 | 0.93 | 2015 |
SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources. | 9 | 0.59 | 2015 |
Thermia: Simplifying Childhood Fevers with Mobile Decision Support. | 0 | 0.34 | 2014 |
Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. | 25 | 1.32 | 2014 |
Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak? | 1 | 0.35 | 2014 |
Wikipedia Usage Estimates Prevalence Of Influenza-Like Illness In The United States In Near Real-Time | 16 | 1.14 | 2014 |
Participatory disease surveillance in Latin America | 0 | 0.34 | 2013 |
Self-reported fever and measured temperature in emergency department records used for syndromic surveillance. | 0 | 0.34 | 2012 |
Application of change point analysis to daily influenza-like illness emergency department visits. | 8 | 0.93 | 2012 |
Digital epidemiology. | 23 | 1.92 | 2012 |
Integration and visualization of host-pathogen data related to infectious diseases. | 4 | 0.51 | 2011 |
Automated vocabulary discovery for geo-parsing online epidemic intelligence. | 18 | 0.41 | 2009 |
Model Formulation: HealthMap: Global Infectious Disease Monitoring through Automated Classification and Visualization of Internet Media Reports | 3 | 0.65 | 2008 |
Automated real time constant-specificity surveillance for disease outbreaks. | 4 | 1.05 | 2007 |
Reengineering Real Time Outbreak Detection Systems for Influenza Epidemic Monitoring. | 1 | 0.50 | 2006 |
Reverse Geocoding: Concerns about Patient Confidentiality in the Display of Geospatial Health Data. | 2 | 0.38 | 2005 |