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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Journal of Theoretical and Applied Information Technology
2016
|
| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848785195347476480 |
|---|---|
| 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. |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:49:17Z |
| format | Article |
| id | iium-58856 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:49:17Z |
| publishDate | 2016 |
| publisher | Journal of Theoretical and Applied Information Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| 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 |
| title | 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_short | 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 |
| topic | RJ Pediatrics T Technology (General) |
| 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 |