http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36444859

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Predicate Object
contentType Multicenter Study|Journal Article|Research Support, Non-U.S. Gov't
endingPage e570
issn 2589-7500
issueIdentifier 9
pageRange e560-e570
publicationName The Lancet. Digital health
startingPage e560
bibliographicCitation Tang R, Liang H, Guo Y, Li Z, Liu Z, Lin X, Yan Z, Liu J, Xu X, Shao W, Li S, Liang W, Wang W, Cui F, He H, Yang C, Jiang L, Wang H, Chen H, Guo C, Zhang H, Gao Z, He Y, Chen X, Zhao L, Yu H, Hu J, Zhao J, Li B, Yin C, Mao W, Lin W, Xie Y, Liu J, Li X, Wu D, Hou Q, Chen Y, Chen D, Xue Y, Liang Y, Tang W, Wang Q, Li E, Liu H, Wang G, Yu P, Chen C, Zheng B, Chen H, Zhang Z, Wang L, Wang A, Li Z, Fu J, Zhang G, Zhang J, Liu B, Zhao J, Deng B, Han Y, Leng X, Li Z, Zhang M, Liu C, Wang T, Luo Z, Yang C, Guo X, Ma K, Wang L, Jiang W, Han X, Wang Q, Qiao K, Xia Z, Zheng S, Xu C, Peng J, Wu S, Zhang Z, Huang H, Pang D, Liu Q, Li J, Ding X, Liu X, Zhong L, Lu Y, Xu F, Dai Q, He J. Pan-mediastinal neoplasm diagnosis via nationwide federated learning: a multicentre cohort study. Lancet Digit Health. 2023 Sep;5(9):e560–70. doi: 10.1016/s2589-7500(23)00106-1. PMID: 37625894.
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date 202309
identifier https://doi.org/10.1016/s2589-7500%2823%2900106-1
https://pubmed.ncbi.nlm.nih.gov/37625894
isPartOf http://rdf.ncbi.nlm.nih.gov/pubchem/journal/48799
https://portal.issn.org/resource/ISSN/2589-7500
language English
source https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/
title Pan-mediastinal neoplasm diagnosis via nationwide federated learning: a multicentre cohort study
discussesAsDerivedByTextMining http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID9401
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