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...

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Detalles Bibliográficos
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:
Research
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

Internet

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

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