2019年-CapturingtheIntrinsicOrganizationofKnowledgeinUserukoln獲取知識的用戶的內(nèi)在組織ukol

1、Guava:Capturing the IntrinsicOrganization ofKnowledge inUser In terfacesJames Terwilliger and Lois DelcambreComputer Science DepartmentPortland State UniversityJudith Logan, MDDivision of Medical Informatics & Clinical EpidemiologyOregon Health & Science UniversityClinical Outcomes Researchr

2、eportreportde-ide ntified patient medical reportsInitiative (CORI)CORI An alystsDB structure is typically “generic” with no in dication of which table is whichextracteddataCORIWarehousestatisticalanalysis tostudy and improvethe practice ofendsocopyThe Traditional Approach vs.The Guava Approachuseran

3、 alystapplicationCORI warehouseTraditional approach: analyst writes queries against (physical) DBGUAVA: Ul gen erates g-tree, then g-tree gen e rates natural schemaProblem Statemento The data analysts at CORI are experts in statistical method and clinical termi no logyo They are not necessarily data

4、base or programming expertso The only knowledge organization systems available to them are database schemasTo Make Matters MoreDifficult.o In the past, there was only one source of datao Soon, they may be analyzing data from as many as five, each with its own areane schemaGuavao Builds an ontology D

5、IRECTLY from the user in terface for the reporti ng tool 一 one for each data source/UIo Use this onto logy (from the Ul) as a query in terfaceo All Ul information is now also searchableA Simple Ul and its ImpliedOntology (Guava Tree)Endoscopy(Entity)Outcomes(Contamer)Endoscopist(Attribute)Anesthetis

6、t = "Bob”(Attribute)Procedure Complete (Attribute)Details(Control)Seventy = “Normal'(Attribute)Simple Query Against a GuavaTreeBold means “pi nt”; filters show n in lineQuery is used to select reports, not Persomiei evaluate sophisticated predicates 心皿叫) or calculationsSingle-LaunchEndoscop

7、y Details (Entity)PrimaryFindmg(Attribute)OtherFindings(Attribute)Post-OperativeInstmctions(Attribute)ComplicationsOccurred(Attribute)AnesthesiaRequired = true(Attribute)Other SurgeryRequired(Attribute)Classifierso Allows user to conform the elements and domains of one Guava Tree to those of another

8、Classifier Habits (Cancer)NoneeLighteModerateeHeavyePacksPerDay = 0 0 < PacksPerDay < 2 2 < PacksPerDay < 5 PacksPerDay > 5Classifies packs per day according to conveisations with cancel study on 5/3/02Classifier Tumoi SizeEstunates nnnoi volume based on dimensions in 3-space. Assumes

9、 52% occupancy fiom spheie-to-cube ratio.chemical studiesNoneePacksPerDay = 0Lighte0 < PacksPerDay < 1Moderatee1 < PacksPerDay < 2HeavyePacksPerDay > 2Classifier Habits (Clienustiy)Classifies packs per day according to flier fiomTumorX * Tumoi Y *TumofZ * 0.52TumorX > 0 ANDTumoi Y

10、> 0 ANDTumoiZ > 0Analyst Feedback (Informal)o Held on September 14, 2019o Dem on strated query in terface capabilities of early prototype to the CORI analystso Response was entirely positive “So much potential” “Very useful” “Exciting”o Most excited about the capability of searchi ng the content of the UlStatuso Early prototype is complete, showing the Guava Tree as a tree structureo Next version will use moc