A longitudinal footprint of genetic epilepsies using automated electronic medical record interpretation

PURPOSE: Childhood epilepsies have a strong genetic contribution, but the disease trajectory for many genetic etiologies remains unknown. Electronic medical record (EMR) data potentially allow for the analysis of longitudinal clinical information but this has not yet been explored. METHODS: We analy...

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Detalles Bibliográficos
Autores principales: Ganesan, Shiva, Galer, Peter D., Helbig, Katherine L., McKeown, Sarah E., O’Brien, Margaret, Gonzalez, Alexander K., Felmeister, Alex S., Khankhanian, Pouya, Ellis, Colin A., Helbig, Ingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708303/
https://www.ncbi.nlm.nih.gov/pubmed/32773773
http://dx.doi.org/10.1038/s41436-020-0923-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708303/
https://www.ncbi.nlm.nih.gov/pubmed/32773773
http://dx.doi.org/10.1038/s41436-020-0923-1

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