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Effect of machine learning re-sampling techniques for imbalanced datasets in 18F-FDG PET-based radiomics model on prognostication performance in cohorts of head and neck cancer patients
Research article (European Journal of Nuclear Medicine and Molecular Imaging, 2020) · cited 97× · AI/ML
Effect of machine learning re-sampling techniques for imbalanced datasets in 18F-FDG PET-based radiomics model on prognostication performance in cohorts of head and neck cancer patients
Summary
Effect of machine learning re-sampling techniques for imbalanced datasets in 18F-FDG PET-based radiomics model on prognostication performance in cohorts of head and neck cancer patients is a scholarly article[1].
Key Facts
Effect of machine learning re-sampling techniques for imbalanced datasets in 18F-FDG PET-based radiomics model on prognostication performance in cohorts of head and neck cancer patients's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Effect of machine learning re-sampling techniques for imbalanced datasets in 18F-FDG PET-based radiomics model on prognostication performance in cohorts of head and neck cancer patients. Retrieved May 24, 2026, from https://4ort.xyz/entity/effect-of-machine-learning-re-sampling-techniques-for-imbalanced-datasets-in-18f-fdg-pet-based-radiomics-model-on-progno
MLA“Effect of machine learning re-sampling techniques for imbalanced datasets in 18F-FDG PET-based radiomics model on prognostication performance in cohorts of head and neck cancer patients.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/effect-of-machine-learning-re-sampling-techniques-for-imbalanced-datasets-in-18f-fdg-pet-based-radiomics-model-on-progno.
BibTeX@misc{4ortxyz_effect-of-machine-learning-re-sampling-techniques-for-imbalanced-datasets-in-18f-fdg-pet-based-radiomics-model-on-progno_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Effect of machine learning re-sampling techniques for imbalanced datasets in 18F-FDG PET-based radiomics model on prognostication performance in cohorts of head and neck cancer patients}}, year = {2026}, url = {https://4ort.xyz/entity/effect-of-machine-learning-re-sampling-techniques-for-imbalanced-datasets-in-18f-fdg-pet-based-radiomics-model-on-progno}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Effect of machine learning re-sampling techniques for imbalanced datasets in 18F-FDG PET-based radiomics model on prognostication performance in cohorts of head and neck cancer patients — https://4ort.xyz/entity/effect-of-machine-learning-re-sampling-techniques-for-imbalanced-datasets-in-18f-fdg-pet-based-radiomics-model-on-progno (retrieved 2026-05-24)
