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

TY - GEN

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

AU - Vilic, Adnan

AU - Petersen, John Asger

AU - Wienecke, Troels

AU - Kjaer, Troels W

AU - Sorensen, Helge B D

PY - 2017/9/13

Y1 - 2017/9/13

N2 - 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.

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.

U2 - 10.1109/EMBC.2017.8037384

DO - 10.1109/EMBC.2017.8037384

M3 - Conference article

C2 - 29060426

SN - 0589-1019

VL - 2017

SP - 2578

EP - 2581

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

ER -