Predicting Australian Adults at High Risk of Cardiovascular Disease Mortality Using Standard Risk Factors and Machine Learning

Effective cardiovascular disease (CVD) prevention relies on timely identification and intervention for individuals at risk. Conventional formula-based techniques have been demonstrated to over- or under-predict the risk of CVD in the Australian population. This study assessed the ability of machine...

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Detalles Bibliográficos
Autores principales: Sajeev, Shelda, Champion, Stephanie, Beleigoli, Alline, Chew, Derek, Reed, Richard L., Magliano, Dianna J., Shaw, Jonathan E., Milne, Roger L., Appleton, Sarah, Gill, Tiffany K., Maeder, Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003399/
https://www.ncbi.nlm.nih.gov/pubmed/33808743
http://dx.doi.org/10.3390/ijerph18063187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003399/
https://www.ncbi.nlm.nih.gov/pubmed/33808743
http://dx.doi.org/10.3390/ijerph18063187

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