Ontology highlight
ABSTRACT:
SUBMITTER: Dauvin A
PROVIDER: S-EPMC6884624 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
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]