Risk prediction for malignant intraductal papillary mucinous neoplasm of the pancreas: logistic regression versus machine learning

Jae Seung Kang, Chanhee Lee, Wookyeong Song, Wonho Choo, Seungyeoun Lee, Sungyoung Lee, Youngmin Han, Claudio Bassi, Roberto Salvia, Giovanni Marchegiani, Cristopher L. Wolfgang, Jin He, Alex B. Blair, Michael D. Kluger, Gloria H. Su, Song Cheol Kim, Ki Byung Song, Masakazu Yamamoto, Ryota Higuchi, Takashi HatoriChing Yao Yang, Hiroki Yamaue, Seiko Hirono, Sohei Satoi, Tsutomu Fujii, Satoshi Hirano, Wenhui Lou, Yasushi Hashimoto, Yasuhiro Shimizu, Marco Del Chiaro, Roberto Valente, Matthias Lohr, Dong Wook Choi, Seong Ho Choi, Jin Seok Heo, Fuyuhiko Motoi, Ippei Matsumoto, Woo Jung Lee, Chang Moo Kang, Yi Ming Shyr, Shin E. Wang, Ho Seong Han, Yoo Seok Yoon, Marc G. Besselink, Nadine C.M. van Huijgevoort, Masayuki Sho, Hiroaki Nagano, Sang Geol Kim, Goro Honda, Yinmo Yang, Hee Chul Yu, Jae Do Yang, Jun Chul Chung, Yuichi Nagakawa, Hyung Il Seo, Yoo Jin Choi, Yoonhyeong Byun, Hongbeom Kim, Wooil Kwon, Taesung Park, Jin Young Jang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Fingerprint

Dive into the research topics of 'Risk prediction for malignant intraductal papillary mucinous neoplasm of the pancreas: logistic regression versus machine learning'. Together they form a unique fingerprint.

Medicine & Life Sciences