Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project

BACKGROUND: Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification techniques that classify the data into predetermined categories. The aim of this study is...

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Detalles Bibliográficos
Autores principales: Sakr, Sherif, Elshawi, Radwa, Ahmed, Amjad M., Qureshi, Waqas T., Brawner, Clinton A., Keteyian, Steven J., Blaha, Michael J., Al-Mallah, Mouaz H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5735871/
https://www.ncbi.nlm.nih.gov/pubmed/29258510
http://dx.doi.org/10.1186/s12911-017-0566-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5735871/
https://www.ncbi.nlm.nih.gov/pubmed/29258510
http://dx.doi.org/10.1186/s12911-017-0566-6

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