Bayesian network classification of gastrointestinal bleeding
The source of gastrointestinal bleeding (GIB) remains uncertain in patients presenting without hematemesis. This paper aims at studying the accuracy, specificity and sensitivity of the Naive Bayesian Classifier (NBC) in identifying the source of GIB in the absence of hematemesis. Data of 325 patient...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universiti Putra Malaysia Press
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/40621/1/1.%20Bayesian%20Network%20Classification%20of%20Gastrointestinal%20Bleeding.pdf |
| _version_ | 1825949635482484736 |
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| author | Nazziwa Aisha, Adam, Mohd Bakri Shohaimi, Shamarina Mustapha, Aida |
| author_facet | Nazziwa Aisha, Adam, Mohd Bakri Shohaimi, Shamarina Mustapha, Aida |
| author_sort | Nazziwa Aisha, |
| collection | UPM |
| description | The source of gastrointestinal bleeding (GIB) remains uncertain in patients presenting without hematemesis. This paper aims at studying the accuracy, specificity and sensitivity of the Naive Bayesian Classifier (NBC) in identifying the source of GIB in the absence of hematemesis. Data of 325 patients admitted via the emergency department (ED) for GIB without hematemesis and who underwent confirmatory testing were analysed. Six attributes related to demography and their presenting signs were chosen. NBC was used to calculate the conditional probability of an individual being assigned to Upper Gastrointestinal bleeding (UGIB) or Lower Gastrointestinal bleeding (LGIB). High classification accuracy (87.3 %), specificity (0.85) and sensitivity (0.88) were achieved. NBC is a useful tool to support the identification of the source of gastrointestinal bleeding in patients without hematemesis. |
| first_indexed | 2024-03-06T08:47:36Z |
| format | Article |
| id | upm.eprints-40621 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:47:36Z |
| publishDate | 2014 |
| publisher | Universiti Putra Malaysia Press |
| record_format | dspace |
| spelling | upm.eprints-406212015-11-27T01:11:00Z http://psasir.upm.edu.my/id/eprint/40621/ Bayesian network classification of gastrointestinal bleeding Nazziwa Aisha, Adam, Mohd Bakri Shohaimi, Shamarina Mustapha, Aida The source of gastrointestinal bleeding (GIB) remains uncertain in patients presenting without hematemesis. This paper aims at studying the accuracy, specificity and sensitivity of the Naive Bayesian Classifier (NBC) in identifying the source of GIB in the absence of hematemesis. Data of 325 patients admitted via the emergency department (ED) for GIB without hematemesis and who underwent confirmatory testing were analysed. Six attributes related to demography and their presenting signs were chosen. NBC was used to calculate the conditional probability of an individual being assigned to Upper Gastrointestinal bleeding (UGIB) or Lower Gastrointestinal bleeding (LGIB). High classification accuracy (87.3 %), specificity (0.85) and sensitivity (0.88) were achieved. NBC is a useful tool to support the identification of the source of gastrointestinal bleeding in patients without hematemesis. Universiti Putra Malaysia Press 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/40621/1/1.%20Bayesian%20Network%20Classification%20of%20Gastrointestinal%20Bleeding.pdf Nazziwa Aisha, and Adam, Mohd Bakri and Shohaimi, Shamarina and Mustapha, Aida (2014) Bayesian network classification of gastrointestinal bleeding. Pertanika Journal of Science & Technology, 22 (2). pp. 567-575. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2022%20%282%29%20Jul.%202014/14%20JST%200461%202012.pdf |
| spellingShingle | Nazziwa Aisha, Adam, Mohd Bakri Shohaimi, Shamarina Mustapha, Aida Bayesian network classification of gastrointestinal bleeding |
| title | Bayesian network classification of gastrointestinal bleeding |
| title_full | Bayesian network classification of gastrointestinal bleeding |
| title_fullStr | Bayesian network classification of gastrointestinal bleeding |
| title_full_unstemmed | Bayesian network classification of gastrointestinal bleeding |
| title_short | Bayesian network classification of gastrointestinal bleeding |
| title_sort | bayesian network classification of gastrointestinal bleeding |
| url | http://psasir.upm.edu.my/id/eprint/40621/1/1.%20Bayesian%20Network%20Classification%20of%20Gastrointestinal%20Bleeding.pdf |
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