期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2012
卷号：3
期号：1
页码：348-351
出版社：Technopark Publications
摘要：Many people are affected by lung diseases. Respiratory diseases can be curable in early detection. Spirometry is valuable for diagnosing specific lung disorders as well as detecting lung disease at an early stage. Spirometry means “the measuring of breath,” which is a routinely used pulmonary function test (PFT) that measures the amount and speed of air that a person can inhale and exhale. Results from the test can be used to estimate lung function. The output of spirometry is in the form of graphs i.e. flow-volume loop and volume-time curve. This graph gives various parameters that are used for spirometry modelling. In this paper, various pulmonary diseases such as obstructive, restrictive and mixed lung disorders are classified using statistical data mining approach. This classification helps a physician in diagnosis process of various diseases. This approach is used to increase the efficiency of classification
