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Now showing items 21-23 of 23
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 ...
Effect of Missing Value Methods on Bayesian Network Classification of Hepatitis Data
(International Journal of Computer Science and Telecommunication, 2013-06)
Missing value imputation methods are widely used in solving missing value problems during statistical analysis. For classification tasks, these imputation methods can affect the accuracy of the Bayesian network classifiers. ...
Comparison of the Naive Bayes Classifier and Instance Based Learner in Classifying Upper Gastrointestinal Bleeding
(MATEMATIKA, 2013)
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 ...