Accurate and dynamic predictive model for better prediction in medicine and healthcare
Introduction: Information and communication technologies (ICTs) have changed the trend into new integrated operations and methods in all fields of life. The health sector has also adopted new technologies to improve the systems and provide better services to customers. Predictive models in health ca...
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| Format: | Article |
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Springer London
2018
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| _version_ | 1796864030747394048 |
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| author | Alanazi, H. O. Abdullah, A. H. Qureshi, K. N. Ismail, A. S. |
| author_facet | Alanazi, H. O. Abdullah, A. H. Qureshi, K. N. Ismail, A. S. |
| author_sort | Alanazi, H. O. |
| collection | ePrints |
| description | Introduction: Information and communication technologies (ICTs) have changed the trend into new integrated operations and methods in all fields of life. The health sector has also adopted new technologies to improve the systems and provide better services to customers. Predictive models in health care are also influenced from new technologies to predict the different disease outcomes. However, still, existing predictive models have suffered from some limitations in terms of predictive outcomes performance. Aims and objectives: In order to improve predictive model performance, this paper proposed a predictive model by classifying the disease predictions into different categories. To achieve this model performance, this paper uses traumatic brain injury (TBI) datasets. TBI is one of the serious diseases worldwide and needs more attention due to its seriousness and serious impacts on human life. Conclusion: The proposed predictive model improves the predictive performance of TBI. The TBI data set is developed and approved by neurologists to set its features. The experiment results show that the proposed model has achieved significant results including accuracy, sensitivity, and specificity. |
| first_indexed | 2024-03-05T20:35:43Z |
| format | Article |
| id | utm.eprints-85369 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:35:43Z |
| publishDate | 2018 |
| publisher | Springer London |
| record_format | dspace |
| spelling | utm.eprints-853692020-03-31T14:48:13Z http://eprints.utm.my/85369/ Accurate and dynamic predictive model for better prediction in medicine and healthcare Alanazi, H. O. Abdullah, A. H. Qureshi, K. N. Ismail, A. S. QA75 Electronic computers. Computer science Introduction: Information and communication technologies (ICTs) have changed the trend into new integrated operations and methods in all fields of life. The health sector has also adopted new technologies to improve the systems and provide better services to customers. Predictive models in health care are also influenced from new technologies to predict the different disease outcomes. However, still, existing predictive models have suffered from some limitations in terms of predictive outcomes performance. Aims and objectives: In order to improve predictive model performance, this paper proposed a predictive model by classifying the disease predictions into different categories. To achieve this model performance, this paper uses traumatic brain injury (TBI) datasets. TBI is one of the serious diseases worldwide and needs more attention due to its seriousness and serious impacts on human life. Conclusion: The proposed predictive model improves the predictive performance of TBI. The TBI data set is developed and approved by neurologists to set its features. The experiment results show that the proposed model has achieved significant results including accuracy, sensitivity, and specificity. Springer London 2018-05 Article PeerReviewed Alanazi, H. O. and Abdullah, A. H. and Qureshi, K. N. and Ismail, A. S. (2018) Accurate and dynamic predictive model for better prediction in medicine and healthcare. Irish Journal of Medical Science, 187 (2). pp. 501-513. ISSN 0021-1265 http://dx.doi.org/10.1007/s11845-017-1655-3 |
| spellingShingle | QA75 Electronic computers. Computer science Alanazi, H. O. Abdullah, A. H. Qureshi, K. N. Ismail, A. S. Accurate and dynamic predictive model for better prediction in medicine and healthcare |
| title | Accurate and dynamic predictive model for better prediction in medicine and healthcare |
| title_full | Accurate and dynamic predictive model for better prediction in medicine and healthcare |
| title_fullStr | Accurate and dynamic predictive model for better prediction in medicine and healthcare |
| title_full_unstemmed | Accurate and dynamic predictive model for better prediction in medicine and healthcare |
| title_short | Accurate and dynamic predictive model for better prediction in medicine and healthcare |
| title_sort | accurate and dynamic predictive model for better prediction in medicine and healthcare |
| topic | QA75 Electronic computers. Computer science |
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