The roles of predictors in cardiovascular risk models - a question of modeling culture?

BACKGROUND: While machine learning (ML) algorithms may predict cardiovascular outcomes more accurately than statistical models, their result is usually not representable by a transparent formula. Hence, it is often unclear how specific values of predictors lead to the predictions. We aimed to demons...

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Detalles Bibliográficos
Autores principales: Wallisch, Christine, Agibetov, Asan, Dunkler, Daniela, Haller, Maria, Samwald, Matthias, Dorffner, Georg, Heinze, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684157/
https://www.ncbi.nlm.nih.gov/pubmed/34922459
http://dx.doi.org/10.1186/s12874-021-01487-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684157/
https://www.ncbi.nlm.nih.gov/pubmed/34922459
http://dx.doi.org/10.1186/s12874-021-01487-4

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