tsiatsis.com
Panagiotis Tsiatsis | Friends
http://www.tsiatsis.com/friends.html
As the saying goes, we are who our. I consider myself really lucky for having great friends. Many of them also thrive in many endeavors; writing, painting, music, science, life, [intentionally left blank] and everything :). Here you can find information for the ones that are reachable over the internet. Musician and multi-instrumentalist that has already published two critically-acclaimed solo albums. Author of two fiction novels and two poetry collections. Stratos Salis ,. Financial and ethical support.
fmedia12.cs.ucl.ac.uk
About | iSense Flu
http://fmedia12.cs.ucl.ac.uk/about
Computer Science Department, UCL. Jens K. Geyti,. Web Services Software Engineer. Ingemar J. Cox,. Professor in Information Retrieval. The iSense Flu website is supported by the EPSRC IRC project Early-Warning Sensing Systems for Infectious Diseases.
geopatterns.enm.bris.ac.uk
GeoPatterns - Flu Detector - Evaluation of the methodology
http://geopatterns.enm.bris.ac.uk/epidemics/twitter-flu-eval.php
Evaluation of the methodology for the ECML/PKDD 2010 paper. Evaluation of the methodology. Three regions of the United Kingdom are considered in our scheme: Central England and Wales, South England and North England. The experiments are carried out on data from 22/06/2009 to 28/03/2010 (overall 40 weeks or 280 days). The datasets are comprised by vector space representations of the Twitter corpus using a vocabulary of 2675 candidate features. Inferred flu rates from the Twitter corpus. As an overall perf...
geopatterns.enm.bris.ac.uk
GeoPatterns - Flu Detector - Nowcasting flu in Central England & Wales
http://geopatterns.enm.bris.ac.uk/epidemics/twitter-flu.php?region=CEngW
Nowcasting flu in Central England and Wales. Select a UK Region:. Central England and Wales. Current Flu Rate: 13.68. Number of GP consultations per 100,000 citizens where the diagnosis' result was Influenza-like Illness. We track tweets geolocated in the following cities of Central England and Wales:. Basildon, Birmingham, Cardiff, Coventry, Derby, Ipswich, Leicester, Luton, Newport, Northampton, Norwich, Nottingham, Peterborough, Southend, Stoke, Swansea, Watford, Wolverhampton. Built by V. Lampos.
geopatterns.enm.bris.ac.uk
GeoPatterns - Flu Detector - Disclaimer
http://geopatterns.enm.bris.ac.uk/disclaimer.php
Flu Detector - Disclaimer. The information contained in this web site serves as a demonstration of research currently under way at the University of Bristol and is provided 'as is' without warranty of any kind. Any reliance you place on this information is strictly at your own risk. Flu detector. Is a demonstration of a research product and is used for research purposes only. We make no claim for its medical usability. The University of Bristol is not responsible for any use of this data.
geopatterns.enm.bris.ac.uk
GeoPatterns - About Flu Detector
http://geopatterns.enm.bris.ac.uk/epidemics/about.php
About / people / publications / contact. Tweets (user posts on Twitter's microblogging service) usually reveal information about the current life-state of their author. We track this information, and then investigate ways of mapping it to an accurate system for identifying and tracking epidemics of infectious diseases and in particular Influenza like Illness (ILI) in several UK regions. Flu Detector is a demonstration of this work, a tool which nowcasts flu rates based on tweets on a daily basis. Natural...
twitter.lampos.net
GeoPatterns - Flu Detector - Evaluation of the methodology
http://twitter.lampos.net/epidemics/twitter-flu-eval.php
Evaluation of the methodology for the ECML/PKDD 2010 paper. Evaluation of the methodology. Three regions of the United Kingdom are considered in our scheme: Central England and Wales, South England and North England. The experiments are carried out on data from 22/06/2009 to 28/03/2010 (overall 40 weeks or 280 days). The datasets are comprised by vector space representations of the Twitter corpus using a vocabulary of 2675 candidate features. Inferred flu rates from the Twitter corpus. As an overall perf...
fludetector.cs.ucl.ac.uk
Flu Detector - About
http://fludetector.cs.ucl.ac.uk/about.html
Flu Detector - About. Flu Detector (version 2; find more about version 1 here. Uses Twitter content or Google search data to estimate influenza-like illness (flu) rates in England. Daily flu rate estimates reflect on data from the past 7 days. This website is supported by the EPSRC IRC project i-sense. Early-Warning Sensing Systems for Infectious Diseases) and a Google Research Sponsorship. The research team behind Flu Detector is based at the Computer Science Department. Of University College London.
SOCIAL ENGAGEMENT