Generative transfer learning for measuring plausibility of EHR diagnosis records

OBJECTIVE: Due to a complex set of processes involved with the recording of health information in the Electronic Health Records (EHRs), the truthfulness of EHR diagnosis records is questionable. We present a computational approach to estimate the probability that a single diagnosis record in the EHR...

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Detalles Bibliográficos
Autores principales: Estiri, Hossein, Vasey, Sebastien, Murphy, Shawn N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7936395/
https://www.ncbi.nlm.nih.gov/pubmed/33043366
http://dx.doi.org/10.1093/jamia/ocaa215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7936395/
https://www.ncbi.nlm.nih.gov/pubmed/33043366
http://dx.doi.org/10.1093/jamia/ocaa215

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