Deep phenotyping unstructured data mining in an extensive pediatric database to unravel a common KCNA2 variant in neurodevelopmental syndromes

PURPOSE: Electronic health records are gaining popularity to detect and propose interdisciplinary treatments for patients with similar medical histories, diagnoses, and outcomes. These files are compiled by different nonexperts and expert clinicians. Data mining in these unstructured data is a trans...

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Detalles Bibliográficos
Autores principales: Hully, Marie, Lo Barco, Tommaso, Kaminska, Anna, Barcia, Giulia, Cances, Claude, Mignot, Cyril, Desguerre, Isabelle, Garcelon, Nicolas, Kabashi, Edor, Nabbout, Rima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2021
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105164/
https://www.ncbi.nlm.nih.gov/pubmed/33500571
http://dx.doi.org/10.1038/s41436-020-01039-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105164/
https://www.ncbi.nlm.nih.gov/pubmed/33500571
http://dx.doi.org/10.1038/s41436-020-01039-z

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