This work introduces a classification model using neural networks on the severity for asthma exacerbations [1] from patients who seek the Brazilian healthcare system in order to get a first treatment of their condition. Healthcare specialists, who work on related databases, usually have access to the information about whether these events need a critical handling or not. However, in many situations, these databases present missing data, which usually demands a manual evaluation of this data and, therefore, time. Hence, the aim of this work is to automate the classification process on the asthma emergency cases – by training and testing neural networks – and compare its performance with other classifiers. The results will be part of the analysis and assessments routines performed by specialists of a healthcare company.
CITATION STYLE
Silveira, A., Muñoz, C., & Mendoza, L. (2019). Severe asthma exacerbations prediction using neural networks. In Communications in Computer and Information Science (Vol. 1000, pp. 115–124). Springer Verlag. https://doi.org/10.1007/978-3-030-20257-6_10
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