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首页> 外文期刊>Burns: Including Thermal Injury >Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: A proof of concept
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Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: A proof of concept

机译:预测严重烧伤患者急性肾损伤的人工智能和机器学习:概念证明

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摘要

Background: Burn critical care represents a high impact population that may benefit from artificial intelligence and machine learning (ML). Acute kidney injury (AKI) recognition in burn patients could be enhanced by ML. The goal of this study was to determine the theoretical performance of ML in augmenting AKI recognition.
机译:背景:烧伤关键护理是可能从人工智能和机器学习(ml)中受益的高影响力。 燃烧患者的急性肾损伤(AKI)识别可以通过ML增强。 本研究的目标是确定ML在增强AKI识别方面的理论表现。

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