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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Detaylı Bibliyografya
Yayımlandı:J Am Med Inform Assoc
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Oxford University Press 2015
Konular:
Research and Applications
Online Erişim: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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