Comparison of the Naive Bayes Classifier and Instance Based Learner in Classifying Upper Gastrointestinal Bleeding

Authors

  • Nazziwa Aisha
  • Mohd Bakri Adam
  • Shamarina Shohaimi

DOI:

https://doi.org/10.11113/matematika.v29.n.583

Abstract

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 and gastric causes. Based on health survey data, this study compares the accuracy of the naive Bayes classifier and an instance based learner in the classification of the cause of bleeding. The two classifiers are learned and trained on data collected from patients admitted for upper gastrointestinal bleeding. The naive Bayes classifier achieves a classification accuracy of 71% accuracy compared to 68% of the instance based learner. Keywords: Naive Bayes classifier; Gastrointestinal bleeding; IBk classifier; Peptic Ulcer disease. 2010 Mathematics Subject Classification: Primary 62C10 ;secondary 62P10

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Published

2013-06-01

How to Cite

Aisha, N., Adam, M. B., & Shohaimi, S. (2013). Comparison of the Naive Bayes Classifier and Instance Based Learner in Classifying Upper Gastrointestinal Bleeding. MATEMATIKA: Malaysian Journal of Industrial and Applied Mathematics, 29, 109–118. https://doi.org/10.11113/matematika.v29.n.583

Issue

Section

Mathematics