Classification models for predicting the source of gastrointestinal bleeding in the absence of hematemesis

Classification models for predicting the source of gastrointestinal bleeding in the absence of hematemesis

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 regression, decision tree, naïve Bayes, LogitBoost and KNN models were...

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Bibliographic Details
Main Authors: Nazziwa Aisha, Adam, Mohd Bakri, Shohaimi, Shamarina
Format: Article
Language:English
English
Published: Basic Research Journal 2013
Online Access:http://psasir.upm.edu.my/id/eprint/30232/
http://psasir.upm.edu.my/id/eprint/30232/1/Classification%20models%20for%20predicting%20the%20source%20of%20gastrointestinal%20bleeding%20in%20the%20absence%20of%20hematemesis.pdf

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