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Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model | Synapse

February 4, 2021Open Access

Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model

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Abstract

XGBoot model had obvious advantages of performance compared to the other machine learning models. This will be helpful for risk identification and early intervention for AKI patients at risk of death.

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Liu et al. (Thu,) studied this question.

synapsesocial.com/papers/69dc236eea70a37eff955321 https://doi.org/https://doi.org/10.1371/journal.pone.0246306

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