Cargando…
Prediction models using artificial intelligence and longitudinal data from electronic health records: a systematic methodological review
OBJECTIVE: To describe and appraise the use of artificial intelligence (AI) techniques that can cope with longitudinal data from electronic health records (EHRs) to predict health-related outcomes. METHODS: This review included studies in any language that: EHR was at least one of the data sources,...
Autores principales: | Carrasco-Ribelles, Lucía A, Llanes-Jurado, José, Gallego-Moll, Carlos, Cabrera-Bean, Margarita, Monteagudo-Zaragoza, Mònica, Violán, Concepción, Zabaleta-del-Olmo, Edurne |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654870/ https://www.ncbi.nlm.nih.gov/pubmed/37659105 http://dx.doi.org/10.1093/jamia/ocad168 |
Ejemplares similares
-
Contribution of Frailty to Multimorbidity Patterns and Trajectories: Longitudinal Dynamic Cohort Study of Aging People
por: Carrasco-Ribelles, Lucía A, et al.
Publicado: (2023) -
Dynamics of multimorbidity and frailty, and their contribution to mortality, nursing home and home care need: A primary care cohort of 1 456 052 ageing people
por: Carrasco-Ribelles, Lucía A., et al.
Publicado: (2022) -
Validation of an electronic frailty index with electronic health records: eFRAGICAP index
por: Orfila, Francesc, et al.
Publicado: (2022) -
Polypharmacy Patterns in Multimorbid Older People with Cardiovascular Disease: Longitudinal Study
por: Villén, Noemí, et al.
Publicado: (2022) -
“Talking on the Phone Is Very Cold”—Primary Health Care Nurses’ Approach to Enabling Patient Participation in the Context of Chronic Diseases during the COVID-19 Pandemic
por: Heumann, Marcus, et al.
Publicado: (2022)