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


ABSTRACT: 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.

SUBMITTER: Dauvin A 

PROVIDER: S-EPMC6884624 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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

Dauvin Antonin A   Donado Carolina C   Bachtiger Patrik P   Huang Ke-Chun KC   Sauer Christopher Martin CM   Ramazzotti Daniele D   Bonvini Matteo M   Celi Leo Anthony LA   Douglas Molly J MJ  

NPJ digital medicine 20191129


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 signific  ...[more]

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