April 2020
Journal paper accepted
20/04/20/10:04 Filed in: Journal paper
P. Cordero, M. Enciso, D. López, A. Mora. A conversational recommender system for diagnosis using fuzzy rules. Expert Systems with Applications, 154:113449, 2020.
ABSTRACT Graded implications in the framework of Fuzzy Formal Concept Analysis are used as the knowledge guiding the recommendations. An automated engine based on fuzzy Simplification Logic is proposed to make the suggestions to the users. Conversational recommender systems have proven to be a good approach in telemedicine, building a dialogue between the user and the recommender based on user preferences provided at each step of the conversation. Here, we propose a conversational recommender system for medical diagnosis using fuzzy logic. Specifically, fuzzy implications in the framework of Formal Concept Analysis are used to store the knowledge about symptoms and diseases and Fuzzy Simplification Logic is selected as an appropriate engine to guide the conversation to a final diagnosis. The recommender system has been used to provide differential diagnosis between schizophrenia and schizoaffective and bipolar disorders. In addition, we have enriched the conversational strategy with two strategies (namely critiquing and elicitation mechanism) for a better understanding of the knowledge-driven conversation, allowing user’s feedback in each step of the conversation and improving the performance of the method.
ABSTRACT Graded implications in the framework of Fuzzy Formal Concept Analysis are used as the knowledge guiding the recommendations. An automated engine based on fuzzy Simplification Logic is proposed to make the suggestions to the users. Conversational recommender systems have proven to be a good approach in telemedicine, building a dialogue between the user and the recommender based on user preferences provided at each step of the conversation. Here, we propose a conversational recommender system for medical diagnosis using fuzzy logic. Specifically, fuzzy implications in the framework of Formal Concept Analysis are used to store the knowledge about symptoms and diseases and Fuzzy Simplification Logic is selected as an appropriate engine to guide the conversation to a final diagnosis. The recommender system has been used to provide differential diagnosis between schizophrenia and schizoaffective and bipolar disorders. In addition, we have enriched the conversational strategy with two strategies (namely critiquing and elicitation mechanism) for a better understanding of the knowledge-driven conversation, allowing user’s feedback in each step of the conversation and improving the performance of the method.
FLAIR member chairs TIME 2020
01/04/20/10:37 Filed in: Chairing
27th Int Symp on Temporal Representation and Reasoning (TIME)
Emilio Muñoz will chair the programme committee of the 27th Int Symp on Temporal Representation and Reasoning (TIME), Bolzano (Italy), 2020.
It will be part of the Bolzano Summer of Knowledge, which will also host EKAW 2020, ICBO 2020, FOIS 2020, and several other events.
Emilio Muñoz will chair the programme committee of the 27th Int Symp on Temporal Representation and Reasoning (TIME), Bolzano (Italy), 2020.
It will be part of the Bolzano Summer of Knowledge, which will also host EKAW 2020, ICBO 2020, FOIS 2020, and several other events.