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Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records

ABSTRACT Objectives 1) To develop a fully data-driven framework for automatically identifying patients with a condition from routine electronic primary care records; 2) to identify informative codes (risk factors) of arthropathy conditions in primary care records that can accurately predict a dia...

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Principais autores: Fabiola Fernández-Gutiérrez, Jonathan Kennedy, Roxanne Cooksey, Mark Atkinson, Ernest Choy, Sinead Brophy, Shang-Ming Zhou
Formato: Artigo
Idioma:Inglês
Publicado: Swansea University 2017-04-01
Series:International Journal of Population Data Science
Acceso en liña:https://ijpds.org/article/view/86
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