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Modeling Physicians' Utterances to Explore Diagnostic Decision-making
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
Diagnostic error prevention is a long-established but specialized topic in clinical and psychological research. In this paper, we contribute to the field by exploring diagnostic decision-making via modeling physicians' utterances of medical concepts during image-based diagnoses. We conduct experiments to collect verbal narratives from dermatologists while they are examining and describing dermatology images towards diagnoses. We propose a hierarchical probabilistic framework to learn
doi:10.24963/ijcai.2017/517
dblp:conf/ijcai/GuoLYH17
fatcat:cmdvnfrfbvds5ldy4asimdzq44