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http://dx.doi.org/10.17703/JCCT.2020.6.4.289

Prediction model of peptic ulcer diseases in middle-aged and elderly adults based on machine learning  

Lee, Bum Ju (Future Medicine Division, Korea Institute of Oriental Medicine)
Publication Information
The Journal of the Convergence on Culture Technology / v.6, no.4, 2020 , pp. 289-294 More about this Journal
Abstract
Peptic ulcer disease is a gastrointestinal disorder caused by Helicobacter pylori infection and the use of nonsteroid anti-inflammatory drugs. While many studies have been conducted to find the risk factors of peptic ulcers, there are no studies on the suggestion of peptic ulcer prediction models for Koreans. Therefore, the purpose of this study is to implement peptic ulcer prediction model using machine learning based on demographic information, obesity information, blood information, and nutritional information for middle-aged and elderly people. For model building, wrapper-based variable selection method and naive Bayes algorithm were used. The classification accuracy of the female prediction model was the area under the receiver operating characteristics curve (AUC) of 0.712, and males showed an AUC of 0.674, which is lower than that of females. These results can be used for prediction and prevention of peptic ulcers in the middle and elderly people.
Keywords
Prediction model; Peptic ulcers; Risk factor; Association; Machine learning;
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Times Cited By KSCI : 4  (Citation Analysis)
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