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Classification of Restrictive and Obstructive Pulmonary Diseases Using Spirometry Data
H. Arabalibeik, M.H. Khomami, K. Agin, S. Setayeshi
25 - 27
10.3233/978-1-58603-964-6-25
Studies in Health Technology and Informatics
Volume 142: Medicine Meets Virtual Reality 17
Abstract

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.

$35.00 / €27.50 / £22.00
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