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Enabling Digital Diagnostics with a Data Science Platform
1.
SLIDE‹#› EnablingDigitalDiagnostics WithaDataSciencePlatform WadeL.Schulz,MD,PhD DepartmentofLaboratoryMedicine RichardTorres,MD,MS DepartmentofLaboratoryMedicine
2.
SLIDE‹#› Overview •HealthcareDataandDataSources •Yale/YNHHDataSciencePlatform •TheDataScienceJourney:ComputationalHealthcareUseCase –Question –Data –Architecture –Implementation •OtherUseCasesinHealthcare
3.
SLIDE‹#› Healthcare(Big?)Data
4.
SLIDE‹#› Healthcare(Big?)Data
5.
SLIDE‹#› TheDreamforBigDatainHealthcare
6.
SLIDE‹#› TheDataSciencePlatform K er b er iz e d
7.
SLIDE‹#› DataScienceJourney
8.
SLIDE‹#› CreatingDataScienceQuestions •Definethequestion/hypothesis •Assessthedatasource,cleanasnecessary •Iterativelytesttheexperimentandimplementation DescriptiveDiagnosticPredictivePrescriptive
9.
SLIDE‹#› ClinicalLaboratoryUseCase •AdvancedAnalyticsforLaboratoryDiagnostics(Yale-NewHaven) –~10millionlaboratorytests –~46millionresultsperyear –Significantnumberrequirephysicianinterpretation –Labbasedexample •Analogoustoanatomic(tissue)pathology •Applicablebeyond
10.
SLIDE‹#› GeneralProblemDefinition •Canweusebigdataandmachinelearningtoimproveourdiagnosticreproducibilityandthroughput forlaboratorytesting? •Hypothesis:TheuseofaMLalgorithmandreal-timedataprocessingpipelinewillimproveour turnaroundtimeandinterpretivereproducibility.Quantitativeresultswillimprovediagnostic accuracy.
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