Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis

OBJECTIVES: 1) To use data-driven method to examine clinical codes (risk factors) of a medical condition in primary care electronic health records (EHRs) that can accurately predict a diagnosis of the condition in secondary care EHRs. 2) To develop and validate a disease phenotyping algorithm for rh...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Shang-Ming, Fernandez-Gutierrez, Fabiola, Kennedy, Jonathan, Cooksey, Roxanne, Atkinson, Mark, Denaxas, Spiros, Siebert, Stefan, Dixon, William G., O’Neill, Terence W., Choy, Ernest, Sudlow, Cathie, Brophy, Sinead
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4852928/
https://www.ncbi.nlm.nih.gov/pubmed/27135409
http://dx.doi.org/10.1371/journal.pone.0154515

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4852928/
https://www.ncbi.nlm.nih.gov/pubmed/27135409
http://dx.doi.org/10.1371/journal.pone.0154515

Ejemplares similares