Validation of Algorithms Used to Identify Red Blood Cell Transfusion Related Admissions in Veteran Patients with End Stage Renal Disease.

Celena B PetersJared L HansenAhmad S HalwaniMonique E ChoJianwei LengTina HuynhZachary BurninghamJohn CaloyerasTara MatsudaBrian C Sauer

Published in: EGEMS (Washington, DC) (2019)

The CA and select CBAs were able to identify TRAs and TRA-primary with high levels of accuracy and can be used to examine anemia management practices in ESRD patients.

Keyphrases

end stage renal disease
chronic kidney disease
peritoneal dialysis
red blood cell
primary care
machine learning
healthcare
cardiac surgery
newly diagnosed
deep learning
sickle cell disease
patient reported outcomes