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

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 br...

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Main Authors:	Alanazi, Hamdan O., Abdullah, Abdul Hanan, Naseer Qureshi, Kashif Naseer, Larbani, Moussa, Al Jumah, Mohammed A.
Format:	Article
Language:	English English
Published:	Journal of Theoretical and Applied Information Technology 2016
Subjects:	RJ Pediatrics T Technology (General)
Online Access:	http://irep.iium.edu.my/58856/ http://irep.iium.edu.my/58856/ http://irep.iium.edu.my/58856/1/58856_Predicting%20the%20outcomes%20of%20traumatic%20_complete.pdf http://irep.iium.edu.my/58856/2/58856_Predicting%20the%20outcomes%20of%20traumatic%20_scopus.pdf

id	iium-58856
recordtype	eprints
spelling	iium-588562017-10-21T10:43:36Z http://irep.iium.edu.my/58856/ Predicting the outcomes of traumatic brain injury using accurate and dynamic predictive model Alanazi, Hamdan O. Abdullah, Abdul Hanan Naseer Qureshi, Kashif Naseer Larbani, Moussa Al Jumah, Mohammed A. RJ Pediatrics T Technology (General) 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. Journal of Theoretical and Applied Information Technology 2016-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/58856/1/58856_Predicting%20the%20outcomes%20of%20traumatic%20_complete.pdf application/pdf en http://irep.iium.edu.my/58856/2/58856_Predicting%20the%20outcomes%20of%20traumatic%20_scopus.pdf 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 http://www.jatit.org/volumes/ninetythree2.php
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	RJ Pediatrics T Technology (General)
spellingShingle	RJ Pediatrics T Technology (General) Alanazi, Hamdan O. Abdullah, Abdul Hanan Naseer Qureshi, Kashif Naseer Larbani, Moussa Al Jumah, Mohammed A. Predicting the outcomes of traumatic brain injury using accurate and dynamic predictive model
description	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.
format	Article
author	Alanazi, Hamdan O. Abdullah, Abdul Hanan Naseer Qureshi, Kashif Naseer Larbani, Moussa Al Jumah, Mohammed A.
author_facet	Alanazi, Hamdan O. Abdullah, Abdul Hanan Naseer Qureshi, Kashif Naseer Larbani, Moussa Al Jumah, Mohammed A.
author_sort	Alanazi, Hamdan O.
title	Predicting the outcomes of traumatic brain injury using accurate and dynamic predictive model
title_short	Predicting the outcomes of traumatic brain injury using accurate and dynamic predictive model
title_full	Predicting the outcomes of traumatic brain injury using accurate and dynamic predictive model
title_fullStr	Predicting the outcomes of traumatic brain injury using accurate and dynamic predictive model
title_full_unstemmed	Predicting the outcomes of traumatic brain injury using accurate and dynamic predictive model
title_sort	predicting the outcomes of traumatic brain injury using accurate and dynamic predictive model
publisher	Journal of Theoretical and Applied Information Technology
publishDate	2016
url	http://irep.iium.edu.my/58856/ http://irep.iium.edu.my/58856/ http://irep.iium.edu.my/58856/1/58856_Predicting%20the%20outcomes%20of%20traumatic%20_complete.pdf http://irep.iium.edu.my/58856/2/58856_Predicting%20the%20outcomes%20of%20traumatic%20_scopus.pdf
first_indexed	2023-09-18T21:23:17Z
last_indexed	2023-09-18T21:23:17Z
_version_	1777412024654888960

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

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