Severity modeling of propionic acidemia using clinical and laboratory biomarkers.

Oleg A ShchelochkovIrini ManoliPaul JuneauJennifer L SloanSusan FerryJennifer MylesMegan SchoenfeldAlexandra PassSamantha McCoyCarol Van RyzinOlivia WengerMark LevinWadih ZeinLaryssa HurynJoseph SnowColby ChlebowskiAudrey ThurmJeffrey B KoppKong Y ChenCharles P Venditti

Published in: Genetics in medicine : official journal of the American College of Medical Genetics (2021)

Support vector machine prioritized biomarkers that helped classify propionic acidemia patients according to severity subtypes, with important ramifications for future clinical trials and management of PA.

Keyphrases

clinical trial
end stage renal disease
ejection fraction
chronic kidney disease
newly diagnosed
prognostic factors
peritoneal dialysis
deep learning
randomized controlled trial
current status
machine learning
double blind