Machine learning algorithms for identifying predictive variables of mortality risk following dementia diagnosis: a longitudinal cohort study

Machine learning (ML) could have advantages over traditional statistical models in identifying risk factors. Using ML algorithms, our objective was to identify the most important variables associated with mortality after dementia diagnosis in the Swedish Registry for Cognitive/Dementia Disorders (Sv...

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Detalles Bibliográficos
Autores principales: Mostafaei, Shayan, Hoang, Minh Tuan, Jurado, Pol Grau, Xu, Hong, Zacarias-Pons, Lluis, Eriksdotter, Maria, Chatterjee, Saikat, Garcia-Ptacek, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257644/
https://www.ncbi.nlm.nih.gov/pubmed/37301891
http://dx.doi.org/10.1038/s41598-023-36362-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257644/
https://www.ncbi.nlm.nih.gov/pubmed/37301891
http://dx.doi.org/10.1038/s41598-023-36362-3

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