Prediction of the prognosis of ischemic stroke patients after intravenous thrombolysis using artificial neural networks

Chun An Cheng, Yi Ching Lin, Hung Wen Chiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In general, around 80% of all strokes are ischemic. Take caring of the patients who have suffered an ischemic stroke is both expensive and time consuming. It is known that thrombolysis in patients with ischemic stroke can reduce the disability and increase the survival rate, however some patients still have poor outcomes. Therefore, to be able to predict the outcome of ischemic stroke patients after intravenous thrombolysis would be useful while making clinical decisions. In this study, we collected retrospective data of 82 ischemic stroke patients who received intravenous thrombolysis from July 2005 to June 2012 in Tri-service General Hospital. Of these patients, 10 died within 3 months, and only 36 patients made a good recovery. We used STATISTICA 10 software to select the best artificial neural network. The parameters of model 1 were age, blood sugar, onset to treatment time, National Institute of Health Stroke Scale (NIHSS) score, dense cerebral artery sign, and old stroke to predict 3-month outcomes. The parameters of model 2 were age, onset to treatment time, NIHSS score, hypertension, heart disease, diabetes and old stroke to predict the 3-month prognosis. The sensitivity, specificity and accuracy for model 1 were 77.78%, 80.43% and 79.27%, respectively, and 94.44%, 95.65% and 95.12%, respectively, for model 2. Artificial neural networks are used to establish prediction models with good performance to predict thrombolysis outcomes. These models may be able to help physicians to discuss and explain the likely outcomes to patients and their families before thrombolysis treatment.

Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
PublisherIOS Press
Pages115-118
Number of pages4
Volume202
ISBN (Print)9781614994220
DOIs
Publication statusPublished - 2014
Event12th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2014 - Athens, Greece
Duration: Jul 10 2014Jul 13 2014

Other

Other12th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2014
CountryGreece
CityAthens
Period7/10/147/13/14

Keywords

  • Acute ischemic stroke
  • Artificial neural networks
  • Intravenous thrombolysis
  • Prediction

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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