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Identification of prognostic signatures in remnant gastric cancer through an interpretable risk model based on machine learning: a multicenter cohort study
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Identification of prognostic signatures in remnant gastric cancer through an interpretable risk model based on machine learning: a multicenter cohort study

BMC cancer, 2024-04, Vol.24 (1), p.547-547 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2024 ;ISSN: 1471-2407 ;EISSN: 1471-2407 ;DOI: 10.1186/s12885-024-12303-9 ;PMID: 38689252

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2
[ 18 F]FDG-PET/CT-based risk stratification in women with locally advanced uterine cervical cancer
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Article
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[ 18 F]FDG-PET/CT-based risk stratification in women with locally advanced uterine cervical cancer

BMC cancer, 2024-04, Vol.24 (1), p.513-513 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2024 ;ISSN: 1471-2407 ;EISSN: 1471-2407 ;DOI: 10.1186/s12885-024-12232-7 ;PMID: 38654241

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