Machine learning does not outperform traditional statistical modelling for kidney allograft failure prediction

Research article (Kidney International, 2022) · cited 33× · AI/ML
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Machine learning does not outperform traditional statistical modelling for kidney allograft failure prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning does not outperform traditional statistical modelling for kidney allograft failure prediction. Retrieved October 20, 2026, from https://4ort.xyz/entity/machine-learning-does-not-outperform-traditional-statistical-modelling-for-kidney-allograft-failure-prediction
MLA “Machine learning does not outperform traditional statistical modelling for kidney allograft failure prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/machine-learning-does-not-outperform-traditional-statistical-modelling-for-kidney-allograft-failure-prediction.
BibTeX @misc{4ortxyz_machine-learning-does-not-outperform-traditional-statistical-modelling-for-kidney-allograft-failure-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning does not outperform traditional statistical modelling for kidney allograft failure prediction}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-does-not-outperform-traditional-statistical-modelling-for-kidney-allograft-failure-prediction}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning does not outperform traditional statistical modelling for kidney allograft failure prediction — https://4ort.xyz/entity/machine-learning-does-not-outperform-traditional-statistical-modelling-for-kidney-allograft-failure-prediction (retrieved 2026-10-20)

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