Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Transforming Estonian health data to the Observational Medical Outcomes Partnership (OMOP) Common Data Model: lessons learned
por: Oja, Marek, et al.
Publicado: (2023) -
seqlm: an MDL based method for identifying differentially methylated regions in high density methylation array data
por: Kolde, Raivo, et al.
Publicado: (2016) -
Robust rank aggregation for gene list integration and meta-analysis
por: Kolde, Raivo, et al.
Publicado: (2012) -
GOsummaries: an R Package for Visual Functional Annotation of Experimental Data
por: Kolde, Raivo, et al.
Publicado: (2015) -
Web services for data warehouses: OMOP and PCORnet on i2b2
por: Klann, Jeffrey G, et al.
Publicado: (2018)