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Data mining of inpatient records reveals the disease pattern of obstructive sleep apnea
Date:12/15/2008

Toolkit. The data set was a representative collection of hospital records in the Inpatient Data Collection System of New South Wales, the most populated Australian state. The data included patient records from 278 public hospitals and 180 private hospitals.

The extracted dataset contained a total of 1.51 million hospital records. Four percent of all records representing 60,197 patients - had a principal or secondary diagnosis of OSA, with a male to female ratio of 2.6:1. The authors report that previous knowledge of disease associations with OSA was fragmented and did not explain possible interrelationships between comorbid diseases. The data mining technique was used to provide the full clinical picture of comorbid conditions associated with OSA.


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Contact: Kelly Wagner
kwagner@aasmnet.org
708-492-0930
American Academy of Sleep Medicine
Source:Eurekalert

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