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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Pubblicato in:BMJ Open
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: BMJ Publishing Group 2021
Soggetti:
Epidemiology
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8190051/
https://ncbi.nlm.nih.gov/pubmed/34103314
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bmjopen-2020-044353
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