RESUMO
Free-text information is still widely used in emergency department (ED) records. Machine learning techniques are useful for analyzing narratives, but they have been used mostly for English-language data sets. Considering such a framework, the performance of an ML classification task of a Spanish-language ED visits database was tested. ED visits collected in the EDs of nine hospitals in Nicaragua were analyzed. Spanish-language, free-text discharge diagnoses were considered in the analysis. Five-hundred random forests were trained on a set of bootstrap samples of the whole data set (1,789 ED visits) to perform the classification task. For each one, after having identified optimal parameter value, the final validated model was trained on the whole bootstrapped data set and tested. The classification accuracies had a median of 0.783 (95% CI [0.779, 0.796]). Machine learning techniques seemed to be a promising opportunity for the exploitation of unstructured information reported in ED records in low- and middle-income Spanish-speaking countries.
Assuntos
Serviço Hospitalar de Emergência , Aprendizado de Máquina , Criança , Bases de Dados Factuais , Humanos , Nicarágua , Alta do PacienteRESUMO
The aim of the present study is to understand how the attitudes towards food labelling in the Chilean population have changed after the introduction of the Chilean law on food labelling and advertising. A computer-assisted telephone interview was conducted in 2012 and 2016, employing the same procedures. The difference in outcomes between 2012 and 2016 was assessed using a logistic regression model. One hundred and sixty-seven subjects responded to both the 2012 and 2016 survey editions (respondents). For both the unadjusted and adjusted analyses, the respondents in 2016 were more likely to be involved in a programme to lose weight and to consider food labelling the most effective intervention introduced to date to promote healthy nutrition. However, no significant differences were reported in both self-reported and objectively assessed understandings of front-of-pack-labelling. Evidence suggests a positive perception among Chileans regarding the effectiveness of the new law.