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Severe Asthma Exacerbations Prediction Using Neural Networks

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Engineering Applications of Neural Networks (EANN 2019)

Abstract

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.

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Correspondence to Arthur Silveira .

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Silveira, A., Muñoz, C., Mendoza, L. (2019). Severe Asthma Exacerbations Prediction Using Neural Networks. In: Macintyre, J., Iliadis, L., Maglogiannis, I., Jayne, C. (eds) Engineering Applications of Neural Networks. EANN 2019. Communications in Computer and Information Science, vol 1000. Springer, Cham. https://doi.org/10.1007/978-3-030-20257-6_10

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  • DOI: https://doi.org/10.1007/978-3-030-20257-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20256-9

  • Online ISBN: 978-3-030-20257-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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