Kang J.S.Lee C.Song W.Choo W.Lee S.Lee S.Han Y.Bassi C.Salvia R.Marchegiani G.Wolfgang C.L.He J.Blair A.B.Kluger M.D.Su G.H.Kim S.C.Song K.-B.Yamamoto M.Higuchi R.Hatori T.CHING-YAO YANGYamaue H.Hirono S.Satoi S.Fujii T.Hirano S.Lou W.Hashimoto Y.Shimizu Y.Del Chiaro M.Valente R.Lohr M.Choi D.W.Choi S.H.Heo J.S.Motoi F.Matsumoto I.Lee W.J.Kang C.M.Shyr Y.-M.Wang S.-E.Han H.-S.Yoon Y.-S.Besselink M.G.van Huijgevoort N.C.M.Sho M.Nagano H.Kim S.G.Honda G.Yang Y.Yu H.C.Do Yang J.Chung J.C.Nagakawa Y.Seo H.I.Choi Y.J.Byun Y.Kim H.Kwon W.Park T.Jang J.-Y.2021-04-272021-04-2720202045-2322https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096187938&doi=10.1038%2fs41598-020-76974-7&partnerID=40&md5=44f32bff747060cbf047fc60e62a7684https://scholars.lib.ntu.edu.tw/handle/123456789/557901[SDGs]SDG3Risk prediction for malignant intraductal papillary mucinous neoplasm of the pancreas: logistic regression versus machine learningjournal article10.1038/s41598-020-76974-7332088872-s2.0-85096187938