Desiderata for computable representations of electronic health records-driven phenotype algorithms

Background Electronic health records (EHRs) are increasingly used for clinical and translational research through the creation of phenotype algorithms. Currently, phenotype algorithms are most commonly represented as noncomputable descriptive documents and knowledge artifacts that detail the protoco...

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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:J Am Med Inform Assoc
Egile Nagusiak: Mo, Huan, Thompson, William K, Rasmussen, Luke V, Pacheco, Jennifer A, Jiang, Guoqian, Kiefer, Richard, Zhu, Qian, Xu, Jie, Montague, Enid, Carrell, David S, Lingren, Todd, Mentch, Frank D, Ni, Yizhao, Wehbe, Firas H, Peissig, Peggy L, Tromp, Gerard, Larson, Eric B, Chute, Christopher G, Pathak, Jyotishman, Denny, Joshua C, Speltz, Peter, Kho, Abel N, Jarvik, Gail P, Bejan, Cosmin A, Williams, Marc S, Borthwick, Kenneth, Kitchner, Terrie E, Roden, Dan M, Harris, Paul A
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Oxford University Press 2015
Gaiak:
Research and Applications
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC4639716/
https://ncbi.nlm.nih.gov/pubmed/26342218
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocv112
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