Healthcare Analytics: From Data to Knowledge to Healthcare Improvement

631 Pages·2016·6.49 MB·English

by  Hui Yang

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HEALTHCARE
ANALYTICS
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Wiley Series in
Operations Research and Management Science
A complete list of the titles in this series appears at the end of this volume.
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HEALTHCARE
ANALYTICS
From Data to Knowledge to Healthcare
Improvement
HUIYANG
Florida,USA
EVAK.LEE
(cid:2) Atlanta,USA (cid:2)
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Copyright©2016byJohnWiley&Sons,Inc.Allrightsreserved
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LibraryofCongressCataloging-in-PublicationData:
Names:Yang,Hui,1981-author.|Lee,EvaK.,author.
Title:Healthcareanalytics:fromdatatoknowledgetohealthcare
improvement/HuiYang,EvaK.Lee.
Description:Hoboken,NewJersey:JohnWiley&Sons,2016.|Includes
bibliographicalreferencesandindex.
Identifiers:LCCN2015047966|ISBN9781118919392(cloth)|ISBN9781118919408
(online)|ISBN9781119374664(ePDF)|ISBN9781119374640(ePub)
Subjects:LCSH:Medicalcare–Dataprocessing.|Medicalcare–Information
services.
Classification:LCCR858.A1Y362016|DDC362.10285–dc23LCrecordavailableat
http://lccn.loc.gov/2015047966
Typesetin10/12ptTimesLTStdbySPiGlobal,Chennai,India
PrintedintheUnitedStatesofAmerica
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CONTENTS
LISTOFCONTRIBUTORS xvii
PREFACE xxi
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PARTI ADVANCESINBIOMEDICALANDHEALTH
INFORMATICS 1
1 RecentDevelopmentinMethodologyforGeneNetworkProblems
andInferences 3
SungW.HanandHuaZhong
1.1 Introduction 3
1.2 Background 5
1.3 GeneticDataAvailable 7
1.4 Methodology 7
1.4.1 StructuralEquationModel 8
1.4.2 ScoreFunctionFormulation 9
1.4.3 Two-StageLearning 12
1.4.4 FurtherIssues 13
1.5 SearchAlgorithm 13
1.5.1 GlobalOptimalSolutionSearch 13
1.5.2 HeuristicAlgorithmforaLocalOptimalSolution 14
1.6 PCAlgorithm 15
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vi CONTENTS
1.7 Application/CaseStudies 16
1.7.1 SkinCutaneousMelanoma(SKCM)Datafromthe
TCGADataPortalWebsite 16
1.7.2 TheCCLE(CancerCellLineEncyclopedia)Project 20
1.7.3 CellularSignalingNetworkinFlowCytometryData 20
1.8 Discussion 23
1.9 OtherUsefulSoftwares 23
Acknowledgments 24
References 24
2 BiomedicalAnalyticsandMorphoproteomics:AnIntegrative
ApproachforMedicalDecisionMakingforRecurrentor
RefractoryCancers 31
MaryF.McGuireandRobertE.Brown
2.1 Introduction 31
2.2 Background 32
2.2.1 Data 33
2.2.2 Tools 33
2.2.3 Algorithms 34
2.2.4 LiteratureReview 35
2.3 Methodology 37
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2.3.1 Morphoproteomics(Fig.2.1(1–3)) 39
2.3.2 BiomedicalAnalytics(Fig.2.1(4–10)) 40
2.3.3 IntegratingMorphoproteomicsandBiomedical
Analytics 44
2.4 CaseStudies 46
2.4.1 Clinical:TherapeuticRecommendationsforPancreatic
Adenocarcinoma 46
2.4.2 Clinical:BiologyUnderlyingExceptionalResponder
inRefractoryHodgkin’sLymphoma 48
2.4.3 Research:RoleoftheHypoxiaPathwayinBoth
OncogenesisandEmbryogenesis 50
2.5 Discussion 51
2.6 Conclusions 52
Acknowledgments 53
References 53
3 CharacterizationandMonitoringofNonlinearDynamicsandChaos
inComplexPhysiologicalSystems 59
HuiYang,YunChen,andFabioLeonelli
3.1 Introduction 59
3.2 Background 61
3.3 Sensor-BasedCharacterizationandModelingofNonlinear
Dynamics 65
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CONTENTS vii
3.3.1 MultifractalSpectrumAnalysisofNonlinearTime
Series 65
3.3.2 RecurrenceQuantificationAnalysis 75
3.3.3 MultiscaleRecurrenceQuantificationAnalysis 78
3.4 HealthcareApplications 80
3.4.1 NonlinearCharacterizationofHeartRateVariability 81
3.4.2 MultiscaleRecurrenceAnalysisofSpace–Time
PhysiologicalSignals 85
3.5 Summary 88
Acknowledgments 90
References 90
4 StatisticalModelingofElectrocardiographySignalforSubject
MonitoringandDiagnosis 95
LiliChen,ChangyueSong,andXiZhang
4.1 Introduction 95
4.2 BasicElementsofECG 96
4.3 StatisticalModelingofECGforDiseaseDiagnosis 99
4.3.1 ECGSignalDenoising 100
4.3.2 WaveformDetection 105
4.3.3 FeatureExtraction 106
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4.3.4 DiseaseClassificationandDiagnosis 111
4.4 AnExample:DetectionofObstructiveSleepApneafrom
aSingleECGLead 115
4.4.1 IntroductiontoObstructiveSleepApnea 115
4.5 MaterialsandMethods 115
4.5.1 Database 115
4.5.2 QRSDetectionandRRCorrection 116
4.5.3 RWaveAmplitudesandEDRSignal 117
4.5.4 FeatureSet 117
4.5.5 ClassifierTrainingwithFeatureSelection 118
4.6 Results 118
4.6.1 QRSDetectionandRRCorrection 118
4.6.2 FeatureSelection 118
4.6.3 OSADetection 120
4.7 ConclusionsandDiscussions 121
References 121
5 ModelingandSimulationofMeasurementUncertaintyinClinical
Laboratories 127
VarunRamamohan,JamesT.Abbott,andYuehwernYih
5.1 Introduction 127
5.2 BackgroundandLiteratureReview 129
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viii CONTENTS
5.2.1 MeasurementUncertainty:BackgroundandAnalytical
Estimation 130
5.2.2 UncertaintyinClinicalLaboratories 134
5.2.3 UncertaintyinClinicalLaboratories:ASystem
Approach 136
5.3 ModelDevelopmentGuidelines 138
5.3.1 SystemDescriptionandProcessPhases 138
5.3.2 ModelingGuidelines 139
5.4 ImplementationofGuidelines:EnzymeAssayUncertainty
Model 141
5.4.1 CalibrationPhase 142
5.4.2 SampleAnalysisPhase 149
5.4.3 ResultsandAnalysis 150
5.5 DiscussionandConclusions 152
References 154
6 PredictiveAnalytics:ClassificationinMedicineandBiology 159
EvaK.Lee
6.1 Introduction 159
6.2 Background 161
6.3 MachineLearningwithDiscreteSupportVectorMachine
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6.3.1 ModelingofReserved-JudgmentRegionfor
GeneralGroups 164
6.3.2 DiscriminantAnalysisviaMixed-IntegerProgramming 165
6.3.3 ModelVariations 167
6.3.4 TheoreticalPropertiesandComputationalStrategies 170
6.4 ApplyingDAMIPtoReal-WorldApplications 170
6.4.1 ValidationofModelandComputationalEffort 171
6.4.2 ApplicationstoBiologicalandMedicalProblems 171
6.5 SummaryandConclusion 182
Acknowledgments 183
References 183
7 PredictiveModelinginRadiationOncology 189
HaoZhang,RobertMeyer,LeyuanShi,WeiLu,andWarrenD’Souza
7.1 Introduction 189
7.2 TutorialsofPredictiveModelingTechniques 191
7.2.1 FeatureSelection 191
7.2.2 SupportVectorMachine 192
7.2.3 LogisticRegression 193
7.2.4 DecisionTree 193
7.3 ReviewofRecentPredictiveModelingApplicationsinRadiation
Oncology 194
7.3.1 MachineLearningforMedicalImageProcessing 194
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