A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history

OBJECTIVE: To facilitate patient disease subset and risk factor identification by constructing a pipeline which is generalizable, provides easily interpretable results, and allows replication by overcoming electronic health records (EHRs) batch effects. MATERIAL AND METHODS: We used 1872 billing cod...

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Detalles Bibliográficos
Autores principales: Maurits, Marc P, Korsunsky, Ilya, Raychaudhuri, Soumya, Murphy, Shawn N, Smoller, Jordan W, Weiss, Scott T, Petukhova, Lynn M, Weng, Chunhua, Wei, Wei-Qi, Huizinga, Thomas W J, Reinders, Marcel J T, Karlson, Elizabeth W, van den Akker, Erik B, Knevel, Rachel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122640/
https://www.ncbi.nlm.nih.gov/pubmed/35139533
http://dx.doi.org/10.1093/jamia/ocac008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122640/
https://www.ncbi.nlm.nih.gov/pubmed/35139533
http://dx.doi.org/10.1093/jamia/ocac008

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