Structured deep embedding model to generate composite clinical indices from electronic health records for early detection of pancreatic cancer

The high-dimensionality, complexity, and irregularity of electronic health records (EHR) data create significant challenges for both simplified and comprehensive health assessments, prohibiting an efficient extraction of actionable insights by clinicians. If we can provide human decision-makers with...

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Detalles Bibliográficos
Autores principales: Park, Jiheum, Artin, Michael G., Lee, Kate E., May, Benjamin L., Park, Michael, Hur, Chin, Tatonetti, Nicholas P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868652/
https://www.ncbi.nlm.nih.gov/pubmed/36699740
http://dx.doi.org/10.1016/j.patter.2022.100636

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868652/
https://www.ncbi.nlm.nih.gov/pubmed/36699740
http://dx.doi.org/10.1016/j.patter.2022.100636

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