Michil Egorov
ABSTRACT
This paper describes the experience of developing a language module for determining diseases of patients who apply to the clinic through a dialogue agent. The dataset characteristics, the architecture of the module, the machine learning models used in the submodules are described, quality metrics are given.
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Index Terms
- Linguistic modules for pre-diagnostic assessment: evaluating patient trajectories and soliciting second opinions through patient-dialogue system interactions
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