2009
DOI: 10.1016/j.cgh.2009.08.011
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Predicting Early Mortality After Acute Variceal Hemorrhage Based on Classification and Regression Tree Analysis

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Cited by 143 publications
(110 citation statements)
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“…Early rebleeding and mortality rate increase sharply within 6 weeks period then stabilized. Early rebleeding rate in the current study was 25.5%, a similar result reported by Krige et al [12] but it is slightly higher than that in some other studies [3] [13] while it is lower than that in other studies [14] [15].…”
Section: Discussionsupporting
confidence: 40%
“…Early rebleeding and mortality rate increase sharply within 6 weeks period then stabilized. Early rebleeding rate in the current study was 25.5%, a similar result reported by Krige et al [12] but it is slightly higher than that in some other studies [3] [13] while it is lower than that in other studies [14] [15].…”
Section: Discussionsupporting
confidence: 40%
“…1,2,4 The risk of death after acute variceal bleeding shows an evolution similar to that of rebleeding, peaking during the first 24 hours, and declining after 5 days and returning to the baseline after 6 weeks. 16 Our observations and those of others show that the efficacy of endoscopic intervention in controlling acute oesophageal variceal bleeding and mortality from bleeding are closely related to the severity of the underlying liver disease. 3,5,8 As anticipated, mortality in our study increased exponentially as liver reserve diminished.…”
Section: Discussionmentioning
confidence: 79%
“…There are many different classification tools, including neural networks, Bayesian networks, and support vector machines, but models based on these may be more difficult to interpret or apply in clinical practice. On the other hand, decision tree approaches such as C4.5 and CART are widely used in biomedical studies [37][38][39] and provide a simple and intuitive hierarchical format that in many cases can be used without a computer.…”
Section: Discussionmentioning
confidence: 99%