Cargando…
Using Electronic Patient Records to Discover Disease Correlations and Stratify Patient Cohorts
Electronic patient records remain a rather unexplored, but potentially rich data source for discovering correlations between diseases. We describe a general approach for gathering phenotypic descriptions of patients from medical records in a systematic and non-cohort dependent manner. By extracting...
Autores principales: | Roque, Francisco S., Jensen, Peter B., Schmock, Henriette, Dalgaard, Marlene, Andreatta, Massimo, Hansen, Thomas, Søeby, Karen, Bredkjær, Søren, Juul, Anders, Werge, Thomas, Jensen, Lars J., Brunak, Søren |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3161904/ https://www.ncbi.nlm.nih.gov/pubmed/21901084 http://dx.doi.org/10.1371/journal.pcbi.1002141 |
Ejemplares similares
-
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) -
Erratum to: 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) -
Temporal disease trajectories condensed from population-wide registry data covering 6.2 million patients
por: Jensen, Anders Boeck, et al.
Publicado: (2014) -
Klinefelter syndrome comorbidities linked to increased X chromosome gene dosage and altered protein interactome activity
por: Belling, Kirstine, et al.
Publicado: (2017) -
Age‐stratified longitudinal study of Alzheimer's and vascular dementia patients
por: Jørgensen, Isabella Friis, et al.
Publicado: (2020)