An Agent Supporting Symptom Elicitation in Physician-Patient Dialogue
Authors: 
Marco Lanciotti, Catherine Escazut, Célia da Costa Pereira, Claudio Sartori, Emanuele GalassoAuthors Info & Claims
Pages 676 - 681
Abstract
The main objective of the framework we are proposing is to help the physician obtain information about the patient’s condition in order to reach the correct diagnosis as soon as possible.
In our proposal, the number of interactions between the physician and the patient is reduced to a strict minimum on the one hand and, on the other hand, it is made possible to increase the number of questions to be asked if the uncertainty about the diagnosis persists.
These advantages are due to the fact that (i) we implement a reasoning component that allows us to predict a symptom from another symptom without explicitly asking the patient, (ii) we consider non-binary values for the weights associated to the symptoms, and (iii) we introduce a dataset filtering process in order to choose which partition should be used with respect to some particular characteristics of the patient
The experimental results we obtained are very encouraging.
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Published In
December 2021
698 pages
ISBN:9781450391153
DOI:10.1145/3486622
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Published: 13 April 2022
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WI-IAT '21
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WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence
December 14 - 17, 2021
VIC, Melbourne, Australia
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