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Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models
Research article (Journal of Biomedical Informatics, 2024) · cited 32× · AI/ML
Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models
Summary
Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models is a scholarly article[1].
Key Facts
Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models. Retrieved May 24, 2026, from https://4ort.xyz/entity/understanding-random-resampling-techniques-for-class-imbalance-correction-and-their-consequences-on-calibration-and-disc
MLA“Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/understanding-random-resampling-techniques-for-class-imbalance-correction-and-their-consequences-on-calibration-and-disc.
BibTeX@misc{4ortxyz_understanding-random-resampling-techniques-for-class-imbalance-correction-and-their-consequences-on-calibration-and-disc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models}}, year = {2026}, url = {https://4ort.xyz/entity/understanding-random-resampling-techniques-for-class-imbalance-correction-and-their-consequences-on-calibration-and-disc}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models — https://4ort.xyz/entity/understanding-random-resampling-techniques-for-class-imbalance-correction-and-their-consequences-on-calibration-and-disc (retrieved 2026-05-24)
