Cargando…
Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review
OBJECTIVE: We conducted a systematic review to characterize and critically appraise developed prediction models based on structured electronic health record (EHR) data for adverse drug event (ADE) diagnosis and prognosis in adult hospitalized patients. MATERIALS AND METHODS: We searched the Embase a...
Autores principales: | Yasrebi-de Kom, Izak A R, Dongelmans, Dave A, de Keizer, Nicolette F, Jager, Kitty J, Schut, Martijn C, Abu-Hanna, Ameen, Klopotowska, Joanna E |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10114128/ https://www.ncbi.nlm.nih.gov/pubmed/36805926 http://dx.doi.org/10.1093/jamia/ocad014 |
Ejemplares similares
-
Incorrect application of the KDIGO acute kidney injury staging criteria
por: Yasrebi-de Kom, Izak A R, et al.
Publicado: (2021) -
Acute kidney injury associated with nephrotoxic drugs in critically ill patients: a multicenter cohort study using electronic health record data
por: Yasrebi-de Kom, Izak A R, et al.
Publicado: (2023) -
Adverse drug event detection using natural language processing: A scoping review of supervised learning methods
por: Murphy, Rachel M., et al.
Publicado: (2023) -
Heterogeneity in the Identification of Potential Drug‐Drug Interactions in the Intensive Care Unit: A Systematic Review, Critical Appraisal, and Reporting Recommendations
por: Bakker, Tinka, et al.
Publicado: (2022) -
Inaccurate recording of routinely collected data items influences identification of COVID-19 patients
por: Klappe, Eva S., et al.
Publicado: (2022)