Cargando…
Temporal disease trajectories condensed from population-wide registry data covering 6.2 million patients
A key prerequisite for precision medicine is the estimation of disease progression from the current patient state. Disease correlations and temporal disease progression (trajectories) have mainly been analysed with focus on a small number of diseases or using large-scale approaches without time cons...
Autores principales: | Jensen, Anders Boeck, Moseley, Pope L., Oprea, Tudor I., Ellesøe, Sabrina Gade, Eriksson, Robert, Schmock, Henriette, Jensen, Peter Bjødstrup, Jensen, Lars Juhl, Brunak, Søren |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Pub. Group
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4090719/ https://www.ncbi.nlm.nih.gov/pubmed/24959948 http://dx.doi.org/10.1038/ncomms5022 |
Ejemplares similares
-
Dictionary construction and identification of possible adverse drug events in Danish clinical narrative text
por: Eriksson, Robert, et al.
Publicado: (2013) -
Diagnosis trajectories of prior multi-morbidity predict sepsis mortality
por: Beck, Mette K., et al.
Publicado: (2016) -
A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts
por: Westergaard, David, et al.
Publicado: (2018) -
Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients
por: Siggaard, Troels, et al.
Publicado: (2020) -
Dose-Specific Adverse Drug Reaction Identification in Electronic Patient Records: Temporal Data Mining in an Inpatient Psychiatric Population
por: Eriksson, Robert, et al.
Publicado: (2014)