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Health-e-Child CaseReasoner

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GaborRendes

Presentation in Darmstadt for LWA 2009

Health & MedicineTechnology
1 of 24
HeC CaseReasoner: Neighborhood Graph for Clinical Case Retrieval and Decision Support LWA 2009 Darmstadt, Germany 21 th – 23 th September 2009 Gabor Rendes Alexey Tsymbal Siemens AG, Erlangen, Germany
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object]
 
Motivation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Motivation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Neighborhood Graphs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Neighborhood Graphs functionality ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
GUI for NGraphs: plain nodes Toolbar Statusbar Graph panel
GUI for NGraphs: mesh visualization Besides clinical data and patient similarities, graphs are nicely suitable for displaying meshes corresponding to patients. Same operations can be used as for usual graphs; also meshes can be scaled and rotated
Clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Semantic Clustering ,[object Object],[object Object],[object Object],[object Object]
GUI for Clustering
Distance Functions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Learning Discriminative Functions ,[object Object],[object Object],[object Object]
Learning Discriminative Functions: two techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Distance learning from equivalence constraints ,[object Object],[object Object],[object Object],[object Object]
Intrinsic RF distance ,[object Object],[object Object],[object Object],[object Object],[object Object]
Learning distance: experimental methodology ,[object Object],[object Object],[object Object],[object Object],[object Object]
CaseReasoner: the application ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
CaseReasoner: the workflow
CaseReasoner: the framework ,[object Object],[object Object],[object Object],[object Object]
Conclusion ,[object Object],[object Object],[object Object],[object Object]
Ongoing / Future work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank you! Any questions?

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Health-e-Child CaseReasoner

  • 1. HeC CaseReasoner: Neighborhood Graph for Clinical Case Retrieval and Decision Support LWA 2009 Darmstadt, Germany 21 th – 23 th September 2009 Gabor Rendes Alexey Tsymbal Siemens AG, Erlangen, Germany
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  • 8. GUI for NGraphs: plain nodes Toolbar Statusbar Graph panel
  • 9. GUI for NGraphs: mesh visualization Besides clinical data and patient similarities, graphs are nicely suitable for displaying meshes corresponding to patients. Same operations can be used as for usual graphs; also meshes can be scaled and rotated
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  • 24. Thank you! Any questions?