Bayesian network modelling of upper gastrointestinal bleeding
Bayesian networks are graphical probabilistic models that represent causal and other relationships between domain variables. In the context of medical decision making, these models have been explored to help in medical diagnosis and prognosis. In this paper, we discuss the Bayesian network formalism...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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AIP Publishing LLC
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/57203/1/Bayesian%20network%20modelling%20of%20upper%20gastrointestinal%20bleeding.pdf |
| _version_ | 1825931566093697024 |
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| author | Nazziwa Aisha, Shohaimi, Shamarina Adam, Mohd Bakri |
| author_facet | Nazziwa Aisha, Shohaimi, Shamarina Adam, Mohd Bakri |
| author_sort | Nazziwa Aisha, |
| collection | UPM |
| description | Bayesian networks are graphical probabilistic models that represent causal and other relationships between domain variables. In the context of medical decision making, these models have been explored to help in medical diagnosis and prognosis. In this paper, we discuss the Bayesian network formalism in building medical support systems and we learn a tree augmented naive Bayes Network (TAN) from gastrointestinal bleeding data. The accuracy of the TAN in classifying the source of gastrointestinal bleeding into upper or lower source is obtained. The TAN achieves a high classification accuracy of 86% and an area under curve of 92%. A sensitivity analysis of the model shows relatively high levels of entropy reduction for color of the stool, history of gastrointestinal bleeding, consistency and the ratio of blood urea nitrogen to creatinine. The TAN facilitates the identification of the source of GIB and requires further validation. |
| first_indexed | 2024-03-06T09:28:40Z |
| format | Conference or Workshop Item |
| id | upm.eprints-57203 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:28:40Z |
| publishDate | 2013 |
| publisher | AIP Publishing LLC |
| record_format | dspace |
| spelling | upm.eprints-572032017-09-08T10:29:41Z http://psasir.upm.edu.my/id/eprint/57203/ Bayesian network modelling of upper gastrointestinal bleeding Nazziwa Aisha, Shohaimi, Shamarina Adam, Mohd Bakri Bayesian networks are graphical probabilistic models that represent causal and other relationships between domain variables. In the context of medical decision making, these models have been explored to help in medical diagnosis and prognosis. In this paper, we discuss the Bayesian network formalism in building medical support systems and we learn a tree augmented naive Bayes Network (TAN) from gastrointestinal bleeding data. The accuracy of the TAN in classifying the source of gastrointestinal bleeding into upper or lower source is obtained. The TAN achieves a high classification accuracy of 86% and an area under curve of 92%. A sensitivity analysis of the model shows relatively high levels of entropy reduction for color of the stool, history of gastrointestinal bleeding, consistency and the ratio of blood urea nitrogen to creatinine. The TAN facilitates the identification of the source of GIB and requires further validation. AIP Publishing LLC 2013 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/57203/1/Bayesian%20network%20modelling%20of%20upper%20gastrointestinal%20bleeding.pdf Nazziwa Aisha, and Shohaimi, Shamarina and Adam, Mohd Bakri (2013) Bayesian network modelling of upper gastrointestinal bleeding. In: International Conference on Mathematical Sciences and Statistics 2013 (ICMSS2013), 5-7 Feb. 2013, Kuala Lumpur, Malaysia. (pp. 576-581). 10.1063/1.4823980 |
| spellingShingle | Nazziwa Aisha, Shohaimi, Shamarina Adam, Mohd Bakri Bayesian network modelling of upper gastrointestinal bleeding |
| title | Bayesian network modelling of upper gastrointestinal bleeding |
| title_full | Bayesian network modelling of upper gastrointestinal bleeding |
| title_fullStr | Bayesian network modelling of upper gastrointestinal bleeding |
| title_full_unstemmed | Bayesian network modelling of upper gastrointestinal bleeding |
| title_short | Bayesian network modelling of upper gastrointestinal bleeding |
| title_sort | bayesian network modelling of upper gastrointestinal bleeding |
| url | http://psasir.upm.edu.my/id/eprint/57203/1/Bayesian%20network%20modelling%20of%20upper%20gastrointestinal%20bleeding.pdf |
| work_keys_str_mv | AT nazziwaaisha bayesiannetworkmodellingofuppergastrointestinalbleeding AT shohaimishamarina bayesiannetworkmodellingofuppergastrointestinalbleeding AT adammohdbakri bayesiannetworkmodellingofuppergastrointestinalbleeding |