Queue-based modelling and detection of parameters involved in stroke outcome

Adnan Vilic, John Asger Petersen, Troels Wienecke, Troels W. Kjaer, Helge Bjarup Dissing Sørensen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

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
Title of host publicationProceedings of 2017 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society
PublisherIEEE
Publication date2017
Pages2578-81
ISBN (Print)9781509028092
DOIs
Publication statusPublished - 2017
Event2017 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society - JUNGMUN Sightseeing Complex, Jeju Island, Korea, Republic of
Duration: 11 Jul 201715 Jul 2017

Conference

Conference2017 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society
LocationJUNGMUN Sightseeing Complex
Country/TerritoryKorea, Republic of
CityJeju Island
Period11/07/201715/07/2017

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