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DTSTART:20171005T120000
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URL:https://murmitoyen.com/events/vanille/udem/detail/780436-event-analytic
 s-to-explore-temporal-patterns-in-patient-data
LOCATION:Université de Montréal - 7101 avenue du Parc\, 7101\, avenue du 
 Parc\, Montréal\, QC\, Canada\, H3N 1X9
SUMMARY:Event analytics to explore temporal patterns in patient data
DESCRIPTION:Séminaire de l'Institut de recherche en santé publique de l'U
 niversité de Montréal – IRSPUM
\nConsultez l'affiche du séminaire
\nT
 itre complet du séminaire :Event analytics to explore temporal patterns i
 n patient data Visualization of temporal patterns contributes to a variety
  of tasks\, from reviewing individual patient records to helping researche
 rs assess data quality\, find patients of interest\, review temporal patte
 rns and anomalies or understand differences between cohorts. We will revie
 w some of visualization techniques developed at the University of Maryland
  focusing on the analysis of sequences of events found in health data\, wi
 th live demonstrations and case studies.
\nConférencière :Catherine Plai
 santCatherine Plaisant is a Senior Research Scientist at the University of
  Maryland Institute for Advanced Computer Studies and Associate Director o
 f Research of the Human-Computer Interaction Lab. Catherine Plaisant has o
 ver 200 published papers\, on subjects as diverse as information visualiza
 tion\, medical informatics\, universal access\, decision making\, digital 
 humanities or technology for families. In 2015 she was elected to the ACM 
 SIGCHI Academy. With long term collaborator Ben Shneiderman she co-authore
 d the 4th\, 5th and 6th Editions of Designing the User Interface\, one of 
 the major books on Human-Computer Interaction.
\nAnimation :Réjean Héber
 tDoyen\, École de santé publique de l'Université de Montréal (ESPUM)\,
  chercheur régulier\, IRSPUM
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