Severe asthma exacerbations prediction using neural networks

2Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free