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Predicting Asthma Outcome Using Partial Least Square Regression and Artificial Neural Networks
Joint Authors
Chatzimichail, E.
Rigas, A.
Paraskakis, E.
Source
Advances in Artificial Intelligence
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-27
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Science
Abstract EN
The long-term solution to the asthma epidemic is believed to be prevention and not treatment of the established disease.
Most cases of asthma begin during the first years of life; thus the early determination of which young children will have asthma later in their life counts as an important priority.
Artificial neural networks (ANN) have been already utilized in medicine in order to improve the performance of the clinical decision-making tools.
In this study, a new computational intelligence technique for the prediction of persistent asthma in children is presented.
By employing partial least square regression, 9 out of 48 prognostic factors correlated to the persistent asthma have been chosen.
Multilayer perceptron and probabilistic neural networks topologies have been investigated in order to obtain the best prediction accuracy.
Based on the results, it is shown that the proposed system is able to predict the asthma outcome with a success of 96.77%.
The ANN, with which these high rates of reliability were obtained, will help the doctors to identify which of the young patients are at a high risk of asthma disease progression.
Moreover, this may lead to better treatment opportunities and hopefully better disease outcomes in adulthood.
American Psychological Association (APA)
Chatzimichail, E.& Paraskakis, E.& Rigas, A.. 2013. Predicting Asthma Outcome Using Partial Least Square Regression and Artificial Neural Networks. Advances in Artificial Intelligence،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-472019
Modern Language Association (MLA)
Chatzimichail, E.…[et al.]. Predicting Asthma Outcome Using Partial Least Square Regression and Artificial Neural Networks. Advances in Artificial Intelligence No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-472019
American Medical Association (AMA)
Chatzimichail, E.& Paraskakis, E.& Rigas, A.. Predicting Asthma Outcome Using Partial Least Square Regression and Artificial Neural Networks. Advances in Artificial Intelligence. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-472019
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-472019