Cargando…
Higher cardiorespiratory fitness predicts long-term survival in patients with heart failure and preserved ejection fraction: the Henry Ford Exercise Testing (FIT) Project
INTRODUCTION: Higher cardiorespiratory fitness (CRF) is associated with improved exercise capacity and quality of life in heart failure with preserved ejection fraction (HFpEF), but there are no large studies evaluating the association of HFpEF, CRF, and long-term survival. We therefore aimed to det...
Autores principales: | Orimoloye, Olusola A., Kambhampati, Swetha, Hicks, Albert J., Al Rifai, Mahmoud, Silverman, Michael G., Whelton, Seamus, Qureshi, Waqas, Ehrman, Jonathan K., Keteyian, Steven J., Brawner, Clinton A., Dardari, Zeina, Al-Mallah, Mouaz H., Blaha, Michael J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425214/ https://www.ncbi.nlm.nih.gov/pubmed/30899287 http://dx.doi.org/10.5114/aoms.2019.83290 |
Ejemplares similares
-
Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project
por: Sakr, Sherif, et al.
Publicado: (2018) -
Physical Fitness and Hypertension in a Population at Risk for Cardiovascular Disease: The Henry Ford ExercIse Testing (FIT) Project
por: Juraschek, Stephen P., et al.
Publicado: (2014) -
Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project
por: Alghamdi, Manal, et al.
Publicado: (2017) -
Systolic Blood Pressure Response During Exercise Stress Testing: The Henry Ford ExercIse Testing (FIT) Project
por: O’Neal, Wesley T, et al.
Publicado: (2015) -
Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project
por: Sakr, Sherif, et al.
Publicado: (2017)