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...

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Main Authors: Nazziwa Aisha, Adam, Mohd Bakri, Shohaimi, Shamarina, Mustapha, Aida
Format: Article
Language:en
Published: Universiti Putra Malaysia Press 2014
Online Access:http://psasir.upm.edu.my/id/eprint/40621/1/1.%20Bayesian%20Network%20Classification%20of%20Gastrointestinal%20Bleeding.pdf
http://psasir.upm.edu.my/id/eprint/40621/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2022%20%282%29%20Jul.%202014/14%20JST%200461%202012.pdf
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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,
building UPM Library
collection Institutional Repository
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
continent Asia
country Malaysia
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.
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spelling my.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
http://psasir.upm.edu.my/id/eprint/40621/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2022%20%282%29%20Jul.%202014/14%20JST%200461%202012.pdf
url_provider http://psasir.upm.edu.my/