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Development and validation of an electronic phenotyping algorithm for chronic kidney disease.
Nadkarni GN, Gottesman O, Linneman JG, Chase H, Berg RL, Farouk S, Nadukuru R, Lotay V, Ellis S, Hripcsak G, Peissig P, Weng C, Bottinger EP. Nadkarni GN, et al. AMIA Annu Symp Proc. 2014 Nov 14;2014:907-16. eCollection 2014. AMIA Annu Symp Proc. 2014. PMID: 25954398 Free PMC article.
Twenty-six million Americans are estimated to have chronic kidney disease (CKD) with increased risk for cardiovascular disease and end stage renal disease. ...As members of eMERGE (electronic medical records and genomics) Network, …
Twenty-six million Americans are estimated to have chronic kidney disease (CKD) with increased risk for cardiovascular …
PheValuator: Development and evaluation of a phenotype algorithm evaluator.
Swerdel JN, Hripcsak G, Ryan PB. Swerdel JN, et al. J Biomed Inform. 2019 Sep;97:103258. doi: 10.1016/j.jbi.2019.103258. Epub 2019 Jul 29. J Biomed Inform. 2019. PMID: 31369862
BACKGROUND: The primary approach for defining disease in observational healthcare databases is to construct phenotype algorithms (PAs), rule-based heuristics predicated on the presence, absence, and temporal logic of clinical observations. ...We examined 4 …
BACKGROUND: The primary approach for defining disease in observational healthcare databases is to construct phenotype algor
Electronic Health Record Phenotypes for Identifying Patients with Late-Stage Disease: a Method for Research and Clinical Application.
Ernecoff NC, Wessell KL, Hanson LC, Lee AM, Shea CM, Dusetzina SB, Weinberger M, Bennett AV. Ernecoff NC, et al. J Gen Intern Med. 2019 Dec;34(12):2818-2823. doi: 10.1007/s11606-019-05219-9. Epub 2019 Aug 8. J Gen Intern Med. 2019. PMID: 31396813
EHR phenotypes-structured algorithms based on clinical indicators from EHRs-can aid in such identification. OBJECTIVE: To develop EHR phenotypes to identify decedents with stage 4 solid-tumor cancer or stage 4-5 chronic kidney disease
EHR phenotypes-structured algorithms based on clinical indicators from EHRs-can aid in such identification. OBJECTIVE: To d
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