Develop and Validate a Computable Phenotype for the Identification of Alzheimer's Disease Patients Using Electronic Health Record Data.

Xing HeRuoqi WeiYu HuangZhaoyi ChenTianchen LyuSarah BostJiayi TongLu LiYujia ZhouJingchuan GuoHuilin TangFei WangSteven DeKoskyHua XuYong ChenRui ZhangJie XuYi GuoYonghui WuJiang Bian

Published in: medRxiv : the preprint server for health sciences (2024)

We developed and validated rule-based CPs for AD identification with good performance, crucial for studies that aim to use real-world data like EHRs.

Keyphrases

electronic health record
end stage renal disease
clinical decision support
chronic kidney disease
newly diagnosed
ejection fraction
adverse drug
big data
cognitive decline
patient reported outcomes
machine learning
case control