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