Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources

Objective Analysis of narrative (text) data from electronic health records (EHRs) can improve population-scale phenotyping for clinical and genetic research. Currently, selection of text features for phenotyping algorithms is slow and laborious, requiring extensive and iterative involvement by domai...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:J Am Med Inform Assoc
Main Authors: Yu, Sheng, Liao, Katherine P, Shaw, Stanley Y, 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 2015
Assuntos:
Focus on Natural Language Processing
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4986664/
https://ncbi.nlm.nih.gov/pubmed/25929596
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocv034
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados