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Decision Analytics and Optimization in Disease Prevention and Treatment.

Author: Nan Kong; Shengfan Zhang
Publisher: Somerset : John Wiley & Sons, Incorporated, 2016.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Kong, Nan.
Decision Analytics and Optimization in Disease Prevention and Treatment.
Somerset : John Wiley & Sons, Incorporated, ©2016
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Nan Kong; Shengfan Zhang
ISBN: 9781118960141 1118960149
OCLC Number: 1022795050
Description: 1 online resource (462 pages)
Contents: Intro; TITLE PAGE; TABLE OF CONTENTS; CONTRIBUTORS; PREFACE; PART 1: INFECTIOUS DISEASE CONTROL AND MANAGEMENT; 1 OPTIMIZATION IN INFECTIOUS DISEASE CONTROL AND PREVENTION; 1.1 TUBERCULOSIS EPIDEMIOLOGY AND BACKGROUND; 1.2 MICROSIMULATIONS FOR DISEASE CONTROL; 1.3 A MICROSIMULATION FOR TUBERCULOSIS CONTROL IN INDIA; 1.4 CONCLUSION; REFERENCES; 2 SAVING LIVES WITH OPERATIONS RESEARCH; 2.1 INTRODUCTION; 2.2 HIV RESOURCE ALLOCATION: THEORETICAL ANALYSES; 2.3 HIV RESOURCE ALLOCATION: PORTFOLIO ANALYSES; 2.4 HIV RESOURCE ALLOCATION: A TOOLFOR DECISION MAKERS; 2.5 DISCUSSION AND FURTHER RESEARCH. ACKNOWLEDGMENTREFERENCES; 3 ADAPTIVE DECISIONâ#x80;#x90;MAKING DURING EPIDEMICS; 3.1 INTRODUCTION; 3.2 PROBLEM FORMULATION; 3.3 METHODS; 3.4 NUMERICAL RESULTS; 3.5 CONCLUSION; ACKNOWLEDGMENTS; REFERENCES; 4 ASSESSING REGISTERâ#x80;#x90;BASED CHLAMYDIA INFECTION SCREENING STRATEGIES; 4.1 Introduction; 4.2 BACKGROUND LITERATURE REVIEW; 4.3 MATHEMATICAL MODELING; 4.4 STRATEGY ASSESSMENT; 4.5 CONCLUSIONS AND FUTURE RESEARCH; REFERENCES; 5 OPTIMAL SELECTION OF ASSAYS FOR DETECTING INFECTIOUS AGENTS IN DONATED BLOOD; 5.1 INTRODUCTION AND CHALLENGES; 5.2 THE NOTATION AND DECISION PROBLEM. 5.3 THE CASE STUDY OF THE SUBâ#x80;#x90;SAHARAN AFRICA REGION AND THE UNITED STATES5.4 CONTRIBUTIONS AND FUTURE RESEARCH DIRECTIONS; ACKNOWLEDGMENTS; REFERENCES; 6 MODELING CHRONIC HEPATITIS C DURING RAPID THERAPEUTIC ADVANCE; 6.1 INTRODUCTION; 6.2 METHOD; 6.3 FOUR RESEARCH AREAS IN DESIGNING EFFECTIVE HCV INTERVENTIONS; 6.4 CONCLUDING REMARKS; REFERENCES; PART 2: NONCOMMUNICABLE DISEASE PREVENTION; 7 MODELING DISEASE PROGRESSION AND RISKâ#x80;#x90;DIFFERENTIATED SCREENING FOR CERVICAL CANCER PREVENTION; 7.1 INTRODUCTION; 7.2 LITERATURE REVIEW; 7.3 MODELING CERVICAL CANCER SCREENING. 7.4 MODELâ#x80;#x90;BASED ANALYSES7.5 CONCLUDING REMARKS; REFERENCES; 8 USING FINITEâ#x80;#x90;HORIZON MARKOV DECISION PROCESSES FOR OPTIMIZING POSTâ#x80;#x90;MAMMOGRAPHY DIAGNOSTIC DECISIONS; 8.1 INTRODUCTION; 8.2 MODEL FORMULATIONS; 8.3 STRUCTURAL PROPERTIES; 8.4 NUMERICAL RESULTS; 8.5 SUMMARY; ACKNOWLEDGMENTS; REFERENCES; 9 PARTIALLY OBSERVABLE MARKOV DECISION PROCESSES FOR PROSTATE CANCER SCREENING, SURVEILLANCE, AND TREATMENT; 9.1 INTRODUCTION; 9.2 REVIEW OF POMDP MODELS AND BENCHMARK ALGORITHMS; 9.3 A POMDP MODEL FOR PROSTATE CANCER SCREENING, SURVEILLANCE, AND TREATMENT; 9.4 BUDGETED SAMPLING APPROXIMATION. 9.5 COMPUTATIONAL EXPERIMENTS9.6 CONCLUSIONS; REFERENCES; 10 COSTâ#x80;#x90;EFFECTIVENESS ANALYSIS OF BREAST CANCER MAMMOGRAPHY SCREENING POLICIES CONSIDERING UNCERTAINTY IN WOMENâ#x80;#x99;S ADHERENCE; 10.1 INTRODUCTION; 10.2 MODEL FORMULATION; 10.3 NUMERICAL STUDIES; 10.4 RESULTS; 10.5 SUMMARY; REFERENCES; 11 AN AGENTâ#x80;#x90;BASED MODEL FOR IDEAL CARDIOVASCULAR HEALTH; 11.1 INTRODUCTION; 11.2 METHODOLOGY; 11.3 RESULTS; 11.4 SIMULATING THE MEDICAREâ#x80;#x90;AGE POPULATION AND THE DISEASEâ#x80;#x90;SPECIFIC SUBPOPULATIONS; 11.5 FUTURE RESEARCH; 11.6 SUMMARY; REFERENCES; PART 3: TREATMENT TECHNOLOGY AND SYSTEM. 12 BIOLOGICAL PLANNING OPTIMIZATION FOR HIGHâ#x80;#x90;DOSEâ#x80;#x90;RATE BRACHYTHERAPY AND ITS APPLICATION TO CERVICAL CANCER TREATMENT.

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