Addressing bias in prediction models by improving subpopulation calibration

Research article (Journal of the American Medical Informatics Association, 2020) · cited 59× · AI/ML
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Addressing bias in prediction models by improving subpopulation calibration

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Addressing bias in prediction models by improving subpopulation calibration is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Addressing bias in prediction models by improving subpopulation calibration. Retrieved May 24, 2026, from https://4ort.xyz/entity/addressing-bias-in-prediction-models-by-improving-subpopulation-calibration
MLA “Addressing bias in prediction models by improving subpopulation calibration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/addressing-bias-in-prediction-models-by-improving-subpopulation-calibration.
BibTeX @misc{4ortxyz_addressing-bias-in-prediction-models-by-improving-subpopulation-calibration_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Addressing bias in prediction models by improving subpopulation calibration}}, year = {2026}, url = {https://4ort.xyz/entity/addressing-bias-in-prediction-models-by-improving-subpopulation-calibration}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Addressing bias in prediction models by improving subpopulation calibration — https://4ort.xyz/entity/addressing-bias-in-prediction-models-by-improving-subpopulation-calibration (retrieved 2026-05-24)

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