Prediction Model by Using Bayesian and Cognition-driven Techniques: A Study in the Context of Obstructive Sleep Apnea
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 predi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier Ltd.
2013
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| Online Access: | http://ir.unimas.my/id/eprint/17677/ http://ir.unimas.my/id/eprint/17677/1/Doreen.pdf |
| _version_ | 1848838342250070016 |
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| author | Sim, Doreen Ying Ying Chee, Siong Teh Probir Kumar, Banerjee |
| author_facet | Sim, Doreen Ying Ying Chee, Siong Teh Probir Kumar, Banerjee |
| author_sort | Sim, Doreen Ying Ying |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | 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). |
| first_indexed | 2025-11-15T06:54:02Z |
| format | Article |
| id | unimas-17677 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:54:02Z |
| publishDate | 2013 |
| publisher | Elsevier Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-176772021-06-30T17:00:00Z http://ir.unimas.my/id/eprint/17677/ Prediction Model by Using Bayesian and Cognition-driven Techniques: A Study in the Context of Obstructive Sleep Apnea Sim, Doreen Ying Ying Chee, Siong Teh Probir Kumar, Banerjee H Social Sciences (General) 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). Elsevier Ltd. 2013 Article PeerReviewed text en http://ir.unimas.my/id/eprint/17677/1/Doreen.pdf 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 http://www.sciencedirect.com/science/article/pii/S1877042813037142 doi : 10.1016/j.sbspro.2013.10.269 |
| spellingShingle | H Social Sciences (General) Sim, Doreen Ying Ying Chee, Siong Teh Probir Kumar, Banerjee Prediction Model by Using Bayesian and Cognition-driven Techniques: A Study in the Context of Obstructive Sleep Apnea |
| title | Prediction Model by Using Bayesian and Cognition-driven Techniques: A Study in the Context of Obstructive Sleep Apnea |
| title_full | Prediction Model by Using Bayesian and Cognition-driven Techniques: A Study in the Context of Obstructive Sleep Apnea |
| title_fullStr | Prediction Model by Using Bayesian and Cognition-driven Techniques: A Study in the Context of Obstructive Sleep Apnea |
| title_full_unstemmed | Prediction Model by Using Bayesian and Cognition-driven Techniques: A Study in the Context of Obstructive Sleep Apnea |
| title_short | Prediction Model by Using Bayesian and Cognition-driven Techniques: A Study in the Context of Obstructive Sleep Apnea |
| title_sort | prediction model by using bayesian and cognition-driven techniques: a study in the context of obstructive sleep apnea |
| topic | H Social Sciences (General) |
| url | http://ir.unimas.my/id/eprint/17677/ http://ir.unimas.my/id/eprint/17677/ http://ir.unimas.my/id/eprint/17677/ http://ir.unimas.my/id/eprint/17677/1/Doreen.pdf |