Predicting the outcomes of traumatic brain injury using accurate and dynamic predictive model

Alanazi, Hamdan O. and Abdullah, Abdul Hanan and Naseer Qureshi, Kashif Naseer and Larbani, Moussa and Al Jumah, Mohammed A. (2016) Predicting the outcomes of traumatic brain injury using accurate and dynamic predictive model. Journal of Theoretical and Applied Information Technology, 93 (2). p. 561. ISSN 1992-8645 E-ISSN 1817-3195

	PDF - Published Version Restricted to Repository staff only Download (693kB) | Request a copy
	PDF (scopus) - Supplemental Material Restricted to Repository staff only Download (458kB) | Request a copy

Abstract

Predictive models have been used widely to predict the diseases outcomes in health sector. These predictive models are emerged with new information and communication technologies. Traumatic brain injury has recognizes as a serious and crucial health problem all over the world. In order to predict brain injuries outcomes, the predictive models are still suffered with predictive performance. In this paper, we propose a new predictive model and traumatic brain injury predictive model to improve the predictive performance to classifying the disease predictions into different categories. These proposed predictive models support to develop the traumatic brain injury predictive model. A primary dataset is constructed which is based on approved set of features by the neurologist. The results of proposed model is indicated that model has achieved the best average ranking in terms of accuracy, sensitivity and specificity.

Item Type:	Article (Journal)
Additional Information:	3917/58856
Uncontrolled Keywords:	Predictive Model, Traumatic Brain Injury, Outcomes, Sensitivity, Specificity, Accuracy, MultiClass Prediction
Subjects:	R Medicine > RJ Pediatrics T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Economics and Management Sciences
Depositing User:	Professor Larbani Moussa
Date Deposited:	21 Oct 2017 17:13
Last Modified:	21 Oct 2017 18:43
URI:	http://irep.iium.edu.my/id/eprint/58856

Actions (login required)

View Item