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Discovering Key Topics in Emergency Medical Dispatch from Free Text Dispatcher Observations
The objective of this work was to discover key topics latent in free text dispatcher observations registered during emergency medical calls. We used a total of 1374931 independent retrospective cases from the Valencian emergency medical dispatch service in Spain, from 2014 to 2019. Text fields were preprocessed to reduce vocabulary size and filter noise, removing accent and punctuation marks, along with uninformative and infrequent words. Key topics were inferred from the multinomial probabilities over words conditioned on each topic from a Latent Dirichlet Allocation model, trained following an online mini-batch variation...
Source: Studies in Health Technology and Informatics - May 25, 2022 Category: Information Technology Authors: Pablo Ferri Carlos S áez Antonio F élix-De Castro Purificaci ón Sánchez-Cuesta Juan M Garc ía-Gómez Source Type: research
