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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Detaylı Bibliyografya
Yayımlandı:PLoS One
Asıl Yazarlar: Sakr, Sherif, Elshawi, Radwa, Ahmed, Amjad, Qureshi, Waqas T., Brawner, Clinton, Keteyian, Steven, Blaha, Michael J., Al-Mallah, Mouaz H.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Public Library of Science 2018
Konular:
Research Article
Online Erişim: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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