Chanhee Lee
Seoul National University
Machine learningLogistic regressionArtificial intelligenceTest setCross-validationIntraductal papillary mucinous neoplasmPancreasInterpretabilityModel developmentMain ductMathematics
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#1Jae Seung Kang (SNU: Seoul National University)H-Index: 1
#2Chanhee Lee (SNU: Seoul National University)H-Index: 1
Last. Jin Young Jang (SNU: Seoul National University)
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Most models for predicting malignant pancreatic intraductal papillary mucinous neoplasms were developed based on logistic regression (LR) analysis. Our study aimed to develop risk prediction models using machine learning (ML) and LR techniques and compare their performances. This was a multinational, multi-institutional, retrospective study. Clinical variables including age, sex, main duct diameter, cyst size, mural nodule, and tumour location were factors considered for model development (MD). ...
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