On May 15, the research group IDAL and the BDSLAb from the Polytechnic University of Valencia (UPV) presented the results of a collaboration project on the optimisation of the response to 112 Emergency calls. The presentation shown that natural language processing can improve the functioning of the system in terms of cost, quality of life of the patient and optimisation of resources. On the other hand, the advantages of using probabilistic graphical models in this type of problems were highlighted, as they are easy to adjust and retrain; they are self-explanatory (as opposed to other black-box approaches) and establish causal relationships between variables that can be modified by the expert.
The slides of the presentations can be downloaded from here:
IA aplicada a la demanda sanitaria
Clasificación de la demanda sanitaria mediante NLP
Información relevante para la clasificación de la demanda sanitaria
Summary of the presented model: