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.
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