Enabling Digital Diagnostics with a Data Science Platform

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Enabling Digital Diagnostics with a Data Science Platform Slides

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SLIDE‹#›
EnablingDigitalDiagnostics
WithaDataSciencePlatform
WadeL.Schulz,MD,PhD
DepartmentofLaboratoryMedicine
RichardTorres,MD,MS
DepartmentofLaboratoryMedicine

SLIDE‹#›
Overview
•HealthcareDataandDataSources
•Yale/YNHHDataSciencePlatform
•TheDataScienceJourney:ComputationalHealthcareUseCase
–Question
–Data
–Architecture
–Implementation
•OtherUseCasesinHealthcare

SLIDE‹#›
TheDataSciencePlatform
K
er
b
er
iz
e
d

SLIDE‹#›
CreatingDataScienceQuestions
•Deﬁnethequestion/hypothesis
•Assessthedatasource,cleanasnecessary
•Iterativelytesttheexperimentandimplementation
DescriptiveDiagnosticPredictivePrescriptive

SLIDE‹#›
ClinicalLaboratoryUseCase
•AdvancedAnalyticsforLaboratoryDiagnostics(Yale-NewHaven)
–~10millionlaboratorytests
–~46millionresultsperyear
–Signiﬁcantnumberrequirephysicianinterpretation
–Labbasedexample
•Analogoustoanatomic(tissue)pathology
•Applicablebeyond

SLIDE‹#›
GeneralProblemDeﬁnition
•Canweusebigdataandmachinelearningtoimproveourdiagnosticreproducibilityandthroughput
forlaboratorytesting?
•Hypothesis:TheuseofaMLalgorithmandreal-timedataprocessingpipelinewillimproveour
turnaroundtimeandinterpretivereproducibility.Quantitativeresultswillimprovediagnostic
accuracy.

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