Open AccessEnhancing Military Burn- and Trauma-Related Acute Kidney Injury Prediction Through an Automated Machine Learning Platform and Point-of-Care Testing
Author(s) -
Hooman H. Rashidi,
Amy T. Makley,
Tina L Palmieri,
Samer Albahra,
Julia Loegering,
Lei Fang,
Kensuke Yamaguchi,
Travis Gerlach,
Dario Rodriquez,
Nam K. Tran
Publication year - 2021
Publication title -
archives of pathology and laboratory medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.79
H-Index - 117
eISSN - 1543-2165
pISSN - 0003-9985
DOI - 10.5858/arpa.2020-0110-oa
Subject(s) - creatinine , acute kidney injury , medicine , context (archaeology) , point of care , biomarker , receiver operating characteristic , area under the curve , odds ratio , point of care testing , urology , algorithm , emergency medicine , pathology , computer science , paleontology , biochemistry , chemistry , biology