Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation.

ABSTRACT:

Objective

The achievement of the optimal control of the disease is of cardinal importance in asthma treatment. As the control of the disease is sustained the medication should be gradually reduced and then stopped. Nevertheless, the discontinuation of asthma medication may lead to loss of disease control and eventually to an exacerbation of the disease. The goal of this paper is to examine the performance of Bayesian network classifiers in predicting asthma exacerbation based on several patient's parameters such as objective measurements and medical history data.

Results

In this study several Bayesian network classifiers are presented and evaluated. It is shown that the proposed semi-naive network classifier with the use of Backward Sequential Elimination and Joining algorit

SUBMITTER: Spyroglou II 

PROVIDER: S-EPMC6069881 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature