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

doi:10.1109/EMBC.2017.8037384

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 proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	Proceedings of 2017 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society
Publisher	IEEE
Publication date	2017
Pages	2578-81
ISBN (Print)	9781509028092
DOIs	https://doi.org/10.1109/EMBC.2017.8037384
Publication status	Published - 2017
Event	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - International Convention Center, Jeju Island, Jeju, Korea, Republic of Duration: 11 Jul 2017 → 15 Jul 2017 Conference number: 39

Conference

Conference	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number	39
Location	International Convention Center, Jeju Island
Country/Territory	Korea, Republic of
City	Jeju
Period	11/07/2017 → 15/07/2017

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10.1109/EMBC.2017.8037384

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title = "Queue-based modelling and detection of parameters involved in stroke outcome",

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.",

author = "Adnan Vilic and Petersen, {John Asger} and Troels Wienecke and Kjaer, {Troels W.} and S{\o}rensen, {Helge Bjarup Dissing}",

year = "2017",

doi = "10.1109/EMBC.2017.8037384",

language = "English",

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pages = "2578--81",

booktitle = "Proceedings of 2017 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society",

publisher = "IEEE",

address = "United States",

note = "39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 ; Conference date: 11-07-2017 Through 15-07-2017",

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Vilic, A, Petersen, JA, Wienecke, T, Kjaer, TW & Sørensen, HBD 2017, Queue-based modelling and detection of parameters involved in stroke outcome. in Proceedings of 2017 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society. IEEE, pp. 2578-81, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jeju, Korea, Republic of, 11/07/2017. https://doi.org/10.1109/EMBC.2017.8037384

Queue-based modelling and detection of parameters involved in stroke outcome. / Vilic, Adnan; Petersen, John Asger; Wienecke, Troels et al.
Proceedings of 2017 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society. IEEE, 2017. p. 2578-81.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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T1 - Queue-based modelling and detection of parameters involved in stroke outcome

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N1 - Conference code: 39

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AB - 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.

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PB - IEEE

T2 - 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 11 July 2017 through 15 July 2017

ER -

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

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