New Directions in Artificial Intelligence for Public Health Surveillance PROJECT TITLE :New Directions in Artificial Intelligence for Public Health SurveillanceABSTRACT:The next decade of disease surveillance research will require novel methods to effectively use massive quantities of complex, high-dimensional data. We summarize two recent approaches which deal with the increasing complexity and scale of health data, including the use of rich text data to detect emerging outbreaks with novel symptom patterns, and fast subset scan methods to efficiently identify the most relevant patterns in massive datasets. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Urban Rail Emergency Response Using Pedestrian Dynamics Social and Economic Computing