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The Capital Region of Denmark - a part of Copenhagen University Hospital
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Queue-based modelling and detection of parameters involved in stroke outcome

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We designed a queue-based model, and investigated which parameters are of importance when predicting stroke outcome. Medical record forms have been collected for 57 ischemic stroke patients, including medical history and vital sign measurement along with neurological scores for the first twenty-four hours of admission. The importance of each parameter is identified using multiple regression combined with a circular queue to iteratively fit outcome. Out of 39 parameters, the model isolated 14 which combined could estimate outcome with a root mean square error of 1.69 on the Scandinavian Stroke Scale, where outcome for patients were 36.75 ± 10.99. The queue-based model integrating multiple linear regression shows promising results for automatic selection of significant medically relevant parameters.

Original languageEnglish
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Volume2017
Pages (from-to)2578-2581
Number of pages4
ISSN2375-7477
DOIs
Publication statusPublished - Jul 2017

    Research areas

  • Journal Article

ID: 52646267