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

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...

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Detalles Bibliográficos
Autores principales: Kang, Jae Seung, Lee, Chanhee, Song, Wookyeong, Choo, Wonho, Lee, Seungyeoun, Lee, Sungyoung, Han, Youngmin, Bassi, Claudio, Salvia, Roberto, Marchegiani, Giovanni, Wolfgang, Cristopher L., He, Jin, Blair, Alex B., Kluger, Michael D., Su, Gloria H., Kim, Song Cheol, Song, Ki-Byung, Yamamoto, Masakazu, Higuchi, Ryota, Hatori, Takashi, Yang, Ching-Yao, Yamaue, Hiroki, Hirono, Seiko, Satoi, Sohei, Fujii, Tsutomu, Hirano, Satoshi, Lou, Wenhui, Hashimoto, Yasushi, Shimizu, Yasuhiro, Del Chiaro, Marco, Valente, Roberto, Lohr, Matthias, Choi, Dong Wook, Choi, Seong Ho, Heo, Jin Seok, Motoi, Fuyuhiko, Matsumoto, Ippei, Lee, Woo Jung, Kang, Chang Moo, Shyr, Yi-Ming, Wang, Shin-E., Han, Ho-Seong, Yoon, Yoo-Seok, Besselink, Marc G., van Huijgevoort, Nadine C. M., Sho, Masayuki, Nagano, Hiroaki, Kim, Sang Geol, Honda, Goro, Yang, Yinmo, Yu, Hee Chul, Do Yang, Jae, Chung, Jun Chul, Nagakawa, Yuichi, Seo, Hyung Il, Choi, Yoo Jin, Byun, Yoonhyeong, Kim, Hongbeom, Kwon, Wooil, Park, Taesung, Jang, Jin-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676251/
https://www.ncbi.nlm.nih.gov/pubmed/33208887
http://dx.doi.org/10.1038/s41598-020-76974-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676251/
https://www.ncbi.nlm.nih.gov/pubmed/33208887
http://dx.doi.org/10.1038/s41598-020-76974-7

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