Machine Learning Approach for Risk Prediction of Erosive Esophagitis in a Health Check-up Population in Taiwan

2021 IEEE 3rd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)(2021)

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摘要
Erosive esophagitis is a kind of GERD (gastroesophageal reflux disease) that potentially develops adenocarcinoma of the esophagus. We collected the data of greater or equal to 20 undergoing upper gastrointestinal endoscopy in a health check-up center between October 2018 and December 2020. We constructed machine learning models using RF (random forest), SVM (support vector machines), MLP Classifie...
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关键词
Radio frequency,Endoscopes,Sociology,Support vector machine classification,Tools,Predictive models,Sustainable development
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