Trajectories: a framework for detecting temporal clinical event sequences from health data standardized to the Observational Medical Outcomes Partnership (OMOP) Common Data Model

OBJECTIVE: To develop a framework for identifying temporal clinical event trajectories from Observational Medical Outcomes Partnership-formatted observational healthcare data. MATERIALS AND METHODS: A 4-step framework based on significant temporal event pair detection is described and implemented as...

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Detalles Bibliográficos
Autores principales: Künnapuu, Kadri, Ioannou, Solomon, Ligi, Kadri, Kolde, Raivo, Laur, Sven, Vilo, Jaak, Rijnbeek, Peter R, Reisberg, Sulev
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097714/
https://www.ncbi.nlm.nih.gov/pubmed/35571357
http://dx.doi.org/10.1093/jamiaopen/ooac021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097714/
https://www.ncbi.nlm.nih.gov/pubmed/35571357
http://dx.doi.org/10.1093/jamiaopen/ooac021

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