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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
BMJ Best Practices. https://bestpractice.bmj.com/topics/pt-br/45. Accessed 02 Dec 2018
Jornal Brasileiro de Pneumologia. http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-37132006001100002. Accessed 02 Dec 2018
Global Initiative for Asthma. www.ginasthma.org. Accessed 02 Dec 2018
Jornal de Pediatria. http://www.scielo.br/pdf/jped/v82n5/v82n5a06. Accessed 02 Dec 2018
Brazilian Journal of Medical and Biological Research. http://www.scielo.br/pdf/bjmbr/v40n7/6613.pdf. Accessed 03 Dec 2018
Princeton University. https://www.cs.princeton.edu/~schapire/talks/picasso-minicourse.pdf. Accessed 10 Dec 2018
Towards Data Science. https://towardsdatascience.com/machine-learning-classifiers-a5cc4e1b0623. Accessed 10 Dec 2018
Inteligência Computacional Aplicada PUC-Rio. http://www.ica.ele.puc-rio.br/Arquivos/monografias/TCC%20-%20Daniel%20Ielpo%20Previs%C3%A3o%20de%20Indicadores%20de%20Qualidade%20de%20Servi%C3%A7os%20em%20Rede%20Banda%20Larga%20Fixa%20atrav%C3%A9s%20%20de%20Redes%20Neurais%20Artificiais.pdf. Accessed 02 Jan 2019
Deep Learning Book. http://deeplearningbook.com.br/a-arquitetura-das-redes-neurais. Accessed 02 Jan 2019
Github. https://isaacchanghau.github.io/post/loss_functions. Accessed 02 Jan 2019
Hackernoon. https://hackernoon.com/what-is-one-hot-encoding-why-and-when-do-you-have-to-use-it-e3c6186d008f. Accessed 03 Jan 2019
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-20257-6_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-20256-9
Online ISBN: 978-3-030-20257-6
eBook Packages: Computer ScienceComputer Science (R0)