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Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: A proof of concept

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第一作者： Tran, Nam K.

作者： Tran, Nam K. ^[1] ; Sen, Soman ^[2] ; Palmieri, Tina L. ^[3] ; Lima, Kelly ; Falwell, Stephanie ; Wajda, Jeffery ; Rashidi, Hooman H.

作者单位： UC Davis Hlth, Sacramento, CA USA ^[1] Dept Surg, Div Burn Surg, Sacramento, CA USA ^[2] Dept Pathol & Lab Med, Sacramento, CA USA ^[3]

关键词 Algorithm Creatinine k-Nearest neighbor Neutrophil gelatinase associated lipocalin Urine output

发布时间 2020-02-26

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Burns

2019年45卷6期

1350-1358页

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Burns

2019年45卷6期

1350-1358页

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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

Burns

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Burns

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