Cargando…
Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods
BACKGROUND: High dimensionality in electronic health records (EHR) causes a significant computational problem for any systematic search for predictive, diagnostic, or prognostic patterns. Feature selection (FS) methods have been indicated to be effective in feature reduction as well as in identifyin...
Autores principales: | Ebrahimi, Ali, Wiil, Uffe Kock, Naemi, Amin, Mansourvar, Marjan, Andersen, Kjeld, Nielsen, Anette Søgaard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686074/ https://www.ncbi.nlm.nih.gov/pubmed/36424597 http://dx.doi.org/10.1186/s12911-022-02051-w |
Ejemplares similares
-
Quantifying the impact of addressing data challenges in prediction of length of stay
por: Naemi, Amin, et al.
Publicado: (2021) -
AUD-DSS: a decision support system for early detection of patients with alcohol use disorder
por: Ebrahimi, Ali, et al.
Publicado: (2023) -
Machine learning techniques for mortality prediction in emergency departments: a systematic review
por: Naemi, Amin, et al.
Publicado: (2021) -
Cross-Cultural Bayesian Network Analysis of Factors Affecting Residents’ Concerns About the Spread of an Infectious Disease Caused by Tourism
por: Glückstad, Fumiko Kano, et al.
Publicado: (2021) -
Monkeypox detection using deep neural networks
por: Sorayaie Azar, Amir, et al.
Publicado: (2023)