Cargando…
Framework for identifying drug repurposing candidates from observational healthcare data
OBJECTIVE: Observational medical databases, such as electronic health records and insurance claims, track the healthcare trajectory of millions of individuals. These databases provide real-world longitudinal information on large cohorts of patients and their medication prescription history. We prese...
Autores principales: | Ozery-Flato, Michal, Goldschmidt, Yaara, Shaham, Oded, Ravid, Sivan, Yanover, Chen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886555/ https://www.ncbi.nlm.nih.gov/pubmed/33623890 http://dx.doi.org/10.1093/jamiaopen/ooaa048 |
Ejemplares similares
-
Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson’s Disease
por: Laifenfeld, Daphna, et al.
Publicado: (2021) -
Paradoxical Hypersusceptibility of Drug-resistant Mycobacteriumtuberculosis to β-lactam Antibiotics
por: Cohen, Keira A., et al.
Publicado: (2016) -
Artificial intelligence framework identifies candidate targets for drug repurposing in Alzheimer’s disease
por: Fang, Jiansong, et al.
Publicado: (2022) -
Estimating the effects of second-line therapy for type 2 diabetes mellitus: retrospective cohort study
por: Gottlieb, Assaf, et al.
Publicado: (2017) -
Inferring new relations between medical entities using literature curated term co-occurrences
por: Spiro, Adam, et al.
Publicado: (2019)