Longitudinal cohorts for harnessing the electronic health record for disease prediction in a US population

PURPOSE: The depth and breadth of clinical data within electronic health record (EHR) systems paired with innovative machine learning methods can be leveraged to identify novel risk factors for complex diseases. However, analysing the EHR is challenging due to complexity and quality of the data. The...

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Detalles Bibliográficos
Autores principales: Manemann, Sheila M, St Sauver, Jennifer L, Liu, Hongfang, Larson, Nicholas B, Moon, Sungrim, Takahashi, Paul Y, Olson, Janet E, Rocca, Walter A, Miller, Virginia M, Therneau, Terry M, Ngufor, Che G, Roger, Veronique L, Zhao, Yiqing, Decker, Paul A, Killian, Jill M, Bielinski, Suzette J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190051/
https://www.ncbi.nlm.nih.gov/pubmed/34103314
http://dx.doi.org/10.1136/bmjopen-2020-044353

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190051/
https://www.ncbi.nlm.nih.gov/pubmed/34103314
http://dx.doi.org/10.1136/bmjopen-2020-044353

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