Making Decisions When no Further Diagnostic Testing is Available (Expected Regret Theory Threshold Model)
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Updated: Jul 15, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Benjamin Djulbegovic1, Iztok Hozo2
1Hematology Stewardship Program, Division of Hematology/Oncology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA. djulbegov@musc.edu.
Abstract:
In Chap. 2 , we illustrated the application of the expected utility theory (EUT) to rational decision-making when no further diagnostic testing is available. In this chapter, we apply regret theory to the decision problems discussed in Chap. 2 .
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