Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data

The increasing availability of electronic health record (EHR) systems has created enormous potential for translational research. However, it is difficult to know all the relevant codes related to a phenotype due to the large number of codes available. Traditional data mining approaches often require...

Descripción completa

Detalles Bibliográficos
Autores principales: Hong, Chuan, Rush, Everett, Liu, Molei, Zhou, Doudou, Sun, Jiehuan, Sonabend, Aaron, Castro, Victor M., Schubert, Petra, Panickan, Vidul A., Cai, Tianrun, Costa, Lauren, He, Zeling, Link, Nicholas, Hauser, Ronald, Gaziano, J. Michael, Murphy, Shawn N., Ostrouchov, George, Ho, Yuk-Lam, Begoli, Edmon, Lu, Junwei, Cho, Kelly, Liao, Katherine P., Cai, Tianxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551205/
https://www.ncbi.nlm.nih.gov/pubmed/34707226
http://dx.doi.org/10.1038/s41746-021-00519-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551205/
https://www.ncbi.nlm.nih.gov/pubmed/34707226
http://dx.doi.org/10.1038/s41746-021-00519-z

Ejemplares similares