Classification of restrictive and obstructive pulmonary diseases using spirometry data.
Spirometry provides useful information for diagnosis purposes in the pulmonary system. A decision support system could help in using this useful noninvasive test more reliably. Bayesian reasoning could aggregate the results of a group of neural network classifiers to improve the diagnosis of pulmonary diseases and discriminating between its restrictive and obstructive patterns.
Tehran University of Medical Sciences, Tehran, Iran. arabalibeik@tums.ac.ir
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Arabalibeik
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Khomami
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Agin
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Setayeshi
D000465:Algorithms; D001499:Bayes Theorem; D020000:Decision Support Systems, Clinical; D006801:Humans; D008173:Lung Diseases, Obstructive / Q000145:classification* / Q000175:diagnosis; D013147:Spirometry