Predicting Outcome of Ischemic Stroke Patients using Bootstrap Aggregating with M5 Model Trees

Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, Majaz Moonis

Abstract

The objective of our study is to predict the clinical outcome of ischemic stroke patients after 90 days of stroke using the modified Rankin Scale (mRS) score. After experimentation with various regression techniques, we discovered that using M5 model trees to predict the score and then using bootstrap aggregating as a meta-learning technique produces the best prediction results. The same regression when followed by classification also performs better than regular multi-class classification. In this paper, we present the methodology used, and compare the results with other standard predictive techniques. We also analyze the results to provide insights on the factors that affect stroke outcomes.

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Paper Citation


in Harvard Style

Kabir A., Ruiz C., Alvarez S. and Moonis M. (2017). Predicting Outcome of Ischemic Stroke Patients using Bootstrap Aggregating with M5 Model Trees . In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017) ISBN 978-989-758-213-4, pages 178-187. DOI: 10.5220/0006282001780187


in Bibtex Style

@conference{healthinf17,
author={Ahmedul Kabir and Carolina Ruiz and Sergio A. Alvarez and Majaz Moonis},
title={Predicting Outcome of Ischemic Stroke Patients using Bootstrap Aggregating with M5 Model Trees},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017)},
year={2017},
pages={178-187},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006282001780187},
isbn={978-989-758-213-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017)
TI - Predicting Outcome of Ischemic Stroke Patients using Bootstrap Aggregating with M5 Model Trees
SN - 978-989-758-213-4
AU - Kabir A.
AU - Ruiz C.
AU - Alvarez S.
AU - Moonis M.
PY - 2017
SP - 178
EP - 187
DO - 10.5220/0006282001780187