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We propose an approach to decision support systems (DSS) that starts with the user first making their own unassisted decision αU and providing this decision as an input to the… Click to show full abstract
We propose an approach to decision support systems (DSS) that starts with the user first making their own unassisted decision αU and providing this decision as an input to the algorithm. Then, if the decision based of machine learning (ML) disagrees with the user's initial decision, it iteratively works with the user to converge to a common decision or at least make the user reconsider input values that are inconsistent with αU. We provide a detailed description of this approach along with examples, and then discuss potential benefits and limitations of this approach.
Journal Title: Studies in health technology and informatics
Year Published: 2020
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