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Blood Oxygen Level Screening using Data Mining

Reshma Malik, Jayant Gadge Published in Artificial Intelligence

International Journal of Applied Information Systems
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/ijais13-450972
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  1. Reshma Malik and Jayant Gadge. Article: Blood Oxygen Level Screening using Data Mining. International Journal of Applied Information Systems 5(9):14-16, July 2013. BibTeX

    @article{key:article,
    	author = "Reshma Malik and Jayant Gadge",
    	title = "Article: Blood Oxygen Level Screening using Data Mining",
    	journal = "International Journal of Applied Information Systems",
    	year = 2013,
    	volume = 5,
    	number = 9,
    	pages = "14-16",
    	month = "July",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Sleep has to serve an important function to restore and recreate physical and mental performance. Current lifestyle attracts more attention towards sleep disorder. Hence sleep disorder is the subject of interest. This is now a common diagnostic process for health worldwide. The Polysomnography analyzer uses data mining technique to analyze patient blood oxygen level. Chronic Obstructive Pulmonary Disease (COPD) sleep disorder is caused by reduction of oxygen level in blood. The Polysomnogram recording is an 6 to 8 hrs sleep study. 100 polysomnography recordings of 6 to 8hrs each are used to analyze the results. Work emphasis on use of association rule mining to extract interesting patterns from the Polysomnogram recording.

Reference

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Keywords

Association rule mining, COPD, Data mining, Polysomnography, Sleep disorder