Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project

This study evaluates and compares the performance of different machine learning techniques on predicting the individuals at risk of developing hypertension, and who are likely to benefit most from interventions, using the cardiorespiratory fitness data. The dataset of this study contains information...

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Detalles Bibliográficos
Autores principales: Sakr, Sherif, Elshawi, Radwa, Ahmed, Amjad, Qureshi, Waqas T., Brawner, Clinton, Keteyian, Steven, Blaha, Michael J., Al-Mallah, Mouaz H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905952/
https://www.ncbi.nlm.nih.gov/pubmed/29668729
http://dx.doi.org/10.1371/journal.pone.0195344

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905952/
https://www.ncbi.nlm.nih.gov/pubmed/29668729
http://dx.doi.org/10.1371/journal.pone.0195344

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