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Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients;

机译:机器学习可以准确预测重症监护患者入院前基线血红蛋白和肌酐;

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摘要

Patients admitted to the intensive care unit frequently have anemia and impaired renal function, but often lack historical blood results to contextualize the acuteness of these findings. Using data available within two hours of ICU admission, we developed machine learning models that accurately (AUC 0.86–0.89) classify an individual patient’s baseline hemoglobin and creatinine levels. Compared to assuming the baseline to be the same as the admission lab value, machine learning performed significantly better at classifying acute kidney injury regardless of initial creatinine value, and significantly better at predicting baseline hemoglobin value in patients with admission hemoglobin of <10 g/dl. Keywords: Acute kidney injury; Anaemia; Chronic kidney disease; Computational models; Data integration;

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  • 年(卷),期 2020(),
  • 年度 2020
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  • 总页数 11
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  • 网站名称 数字空间系统
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  • 入库时间 2022-08-19 17:01:59
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