Optimal Policies for Reducing Unnecessary Follow-Up Mammography Exams in Breast Cancer Diagnosis

DOI10.1287/deca.2013.0272zbMath1409.92109OpenAlexW2146504156WikidataQ37542656 ScholiaQ37542656MaRDI QIDQ3121147

Elizabeth S. Burnside, Oguzhan Alagoz, Jagpreet Chhatwal

Publication date: 20 March 2019

Published in: Decision Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3910299

zbMATH Keywords

Markov decision processesmedical decision makingbreast cancer diagnosispracticeBI-RADSdouble control limit policymammography interpretation

Mathematics Subject Classification ID

Medical applications (general) (92C50) Markov and semi-Markov decision processes (90C40)

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Cites Work

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• Optimal Breast Biopsy Decision-Making Based on Mammographic Features and Demographic Factors
• The Optimal Timing of Living-Donor Liver Transplantation
• Determining the Acceptance of Cadaveric Livers Using an Implicit Model of the Waiting List
• The Optimal Time to Initiate HIV Therapy Under Ordered Health States
• Estimating the Patient's Price of Privacy in Liver Transplantation

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