Sim, Doreen Ying Ying and Chee, Siong Teh and Probir Kumar, Banerjee (2013) Prediction Model by Using Bayesian and Cognition-driven Techniques: A Study in the Context of Obstructive Sleep Apnea. Procedia - Social and Behavioral Sciences, 97. pp. 528-537. ISSN 1877-0428
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Abstract
This research proposes a mechanism for cost-effective medical diagnostic support for relatively new physical ailments or diseases where there are incomplete data sets available and hence, common parameters are forced to be used for drawing a- priori inferences. We propose a simple but powerful prediction model that combines the advantages of the Bayesian Approaches and Cognition-Driven Techniques such as Expert Reasoning (ER) and Cognitive Reasoning (CR) using Markov Chain analyses. Then, we demonstrate the effectiveness of our approach in predicting Obstructive Sleep Apnea (OSA).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | diagnostic support; a-priori inferences; Bayesian Approaches and Cognition-Driven Techniques; Expert Reasoning (ER); Cognitive Reasoning (CR); Markov Chain analyses; Obstructive Sleep Apnea (OSA), unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak |
| Subjects: | H Social Sciences > H Social Sciences (General) |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development Faculties, Institutes, Centres > Faculty of Cognitive Sciences and Human Development Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 19 Sep 2017 07:30 |
| Last Modified: | 30 Jun 2021 17:00 |
| URI: | http://ir.unimas.my/id/eprint/17677 |
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