Cargando…
ACE: the Advanced Cohort Engine for searching longitudinal patient records
OBJECTIVE: To propose a paradigm for a scalable time-aware clinical data search, and to describe the design, implementation and use of a search engine realizing this paradigm. MATERIALS AND METHODS: The Advanced Cohort Engine (ACE) uses a temporal query language and in-memory datastore of patient ob...
Autores principales: | Callahan, Alison, Polony, Vladimir, Posada, José D, Banda, Juan M, Gombar, Saurabh, Shah, Nigam H |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8279796/ https://www.ncbi.nlm.nih.gov/pubmed/33712854 http://dx.doi.org/10.1093/jamia/ocab027 |
Ejemplares similares
-
Profiling off-label prescriptions in cancer treatment using social health networks
por: Nikfarjam, Azadeh, et al.
Publicado: (2019) -
It is time to learn from patients like mine
por: Gombar, Saurabh, et al.
Publicado: (2019) -
Linkage of Hospital Records and Death Certificates by a Search Engine and Machine Learning
por: Cossin, Sebastien, et al.
Publicado: (2021) -
Characterizing subgroup performance of probabilistic phenotype algorithms within older adults: a case study for dementia, mild cognitive impairment, and Alzheimer’s and Parkinson’s diseases
por: Banda, Juan M, et al.
Publicado: (2023) -
The Stanford Medicine data science ecosystem for clinical and translational research
por: Callahan, Alison, et al.
Publicado: (2023)