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Bayesian Network Classification of Gastrointestinal Bleeding
(Universiti Putra Malaysia Press (Pertanika Journal of Science & Technology), 2014)
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 ...
Classification models for predicting the source of gastrointestinal bleeding in the absence of hematemesis
(Basic Research Journal of Medicine and Clinical Sciences, 2013-08)
Management of acute gastrointestinal bleeding necessitates the identification of the source of bleed. The source of bleeding which is clear in patients presenting with hematemesis, is unclear in the absence of it. Logistic ...
Comparison of the Naive Bayes Classifier and Instance Based Learner in Classifying Upper Gastrointestinal Bleeding
Upper gastrointestinal bleeding is a medical emergence that results in high medical costs and death. Management of this disease requires ascertaining the cause of bleeding. The cause of bleeding is classified into esophageal ...