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Blood Oxygen Level Screening using Data Mining

by Reshma Malik, Jayant Gadge
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 5 - Number 9
Year of Publication: 2013
Authors: Reshma Malik, Jayant Gadge
10.5120/ijais13-450972

Reshma Malik, Jayant Gadge . Blood Oxygen Level Screening using Data Mining. International Journal of Applied Information Systems. 5, 9 ( July 2013), 14-16. DOI=10.5120/ijais13-450972

@article{ 10.5120/ijais13-450972,
author = { Reshma Malik, Jayant Gadge },
title = { Blood Oxygen Level Screening using Data Mining },
journal = { International Journal of Applied Information Systems },
issue_date = { July 2013 },
volume = { 5 },
number = { 9 },
month = { July },
year = { 2013 },
issn = { 2249-0868 },
pages = { 14-16 },
numpages = {9},
url = { https://www.ijais.org/archives/volume5/number9/509-0972/ },
doi = { 10.5120/ijais13-450972 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T17:59:02.487078+05:30
%A Reshma Malik
%A Jayant Gadge
%T Blood Oxygen Level Screening using Data Mining
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 5
%N 9
%P 14-16
%D 2013
%I Foundation of Computer Science (FCS), NY, 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.

References
  1. Sleep introduction, http://www. aasmnet. org
  2. N. Butkov, Atlas of Clinical Polysomnography, vol. 2, Medford, Synapse Media, 1996.
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  4. M. A. Carskadon and A. Rechtschaffen, "Monitoring and staging human sleep," in M. H. Kryger, T. Roth and W. C. Dement, Principles and Practice of Sleep Medicine. 3rd, ed. Philadelphia,PA: Saunders,2000.
  5. COPD introduction http://www. nhlbi. nih. gov/health/health-topics/topics/copd/ access on May 2013.
  6. EDF/BDF converter http://www. teuniz. net/edf2ascii/access on Dec2012.
  7. E. Frank and I. H. Witten, Data Mining: Practical Machin Learning Tools and Techniques, 2nd ed. , San Mateo, CA: Morgan Kaufmann,2005.
  8. WEKA Manual for version3-7-9,University of Waikato,Hamilton,New Zealand,February19,2013.
  9. Embla titanium Clinical Manual, Thornton, USA,2011.
Index Terms

Computer Science
Information Sciences

Keywords

Association rule mining COPD Data mining Polysomnography Sleep disorder

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