2014
DOI: 10.1097/meg.0b013e328365c3b0
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Mortality prediction of nonalcoholic patients presenting with upper gastrointestinal bleeding using data mining

Abstract: Chronic hepatitis C virus infection and NSAID-associated splenomegaly because of portal hypertension are significant predictors of mortality in nonalcoholic patients presenting with upper GI bleeding.

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Cited by 14 publications
(11 citation statements)
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“…Less frequent causes of UGIB include hemophilia, hemosuccus pancreatitis, and aortoenteric fistula. 11 Given the high prevalence of viral hepatitis in Egypt, the usual load of emergency rooms and the urgent care that UGIB patients need, therefore, identifying high risk UGIB patients by data mining will save much need time, effort and will ultimately improve the patient care.…”
Section: Discussionmentioning
confidence: 99%
“…Less frequent causes of UGIB include hemophilia, hemosuccus pancreatitis, and aortoenteric fistula. 11 Given the high prevalence of viral hepatitis in Egypt, the usual load of emergency rooms and the urgent care that UGIB patients need, therefore, identifying high risk UGIB patients by data mining will save much need time, effort and will ultimately improve the patient care.…”
Section: Discussionmentioning
confidence: 99%
“…Data mining is the breakthrough in economy, biology, trading, business, astronomy and medicine [21][22][23]. Data mining can predict disease related-mortality and morbidity that will influence the overall medical progress [24][25][26]. In current research decision tree of Rapid I software program can detect the cut off point for ACS related -chronic Pylori infection at 1.4IU of IgG test, hence there was a good correlation between long duration of chronic chest pain and ACS due to Pylori, nevertheless values less than 1.4IU but still positive to IgG should be evaluated using age as a second predictor factor for ACS (Figure 1).…”
Section: Methodsmentioning
confidence: 99%
“…Furthermore, these data are stored in large sets on powerful computers owned by the companies we deal with every day that they understand our mind for purchase. The same goes for physicians and researchers who understand each disease behavior [24][25][26][27][28][29][30][31] .…”
Section: Discussionmentioning
confidence: 99%