Surrogate-assisted feature extraction for high-throughput phenotyping

Objective: Phenotyping algorithms are capable of accurately identifying patients with specific phenotypes from within electronic medical records systems. However, developing phenotyping algorithms in a scalable way remains a challenge due to the extensive human resources required. This paper introdu...

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Detalhes bibliográficos
Publicado no:J Am Med Inform Assoc
Main Authors: Yu, Sheng, Chakrabortty, Abhishek, Liao, Katherine P, Cai, Tianrun, Ananthakrishnan, Ashwin N, Gainer, Vivian S, Churchill, Susanne E, Szolovits, Peter, Murphy, Shawn N, Kohane, Isaac S, Cai, Tianxi
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2017
Assuntos:
Research and Applications
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6080726/
https://ncbi.nlm.nih.gov/pubmed/27632993
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocw135
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