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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Bibliografiske detaljer
Udgivet i:PLoS One
Main Authors: Sakr, Sherif, Elshawi, Radwa, Ahmed, Amjad, Qureshi, Waqas T., Brawner, Clinton, Keteyian, Steven, Blaha, Michael J., Al-Mallah, Mouaz H.
Format: Artigo
Sprog:Inglês
Udgivet: Public Library of Science 2018
Fag:
Research Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5905952/
https://ncbi.nlm.nih.gov/pubmed/29668729
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0195344
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