Why the study?
Can machine learning techniques such as Random Forest accurately identify kidneys at risk of discard?
Can machine learning techniques such as Random Forest accurately identify kidneys at risk of discard?
Machine learning techniques like Random Forest can improve the accuracy of predicting kidney discard.
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ML may better identify discard-risk kidneys; leaves open effects on allocation and utilization.
Kidneys that are at risk of discard can be more accurately identified using ML techniques such as RF.
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Barah et al. (2021) studied this question.
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