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1 results for can be used for training a random forest classifier model to assess radial artery diameter.

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Keyword    can be used for training a random forest classifier model to assess radial artery diameter

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Transradial Access - A Predictive Model to Assess Radial Artery Diameter
by Michael Brockman, Jarren Adam, Cassandra De La Torre, Lucas Achkarian and Robert Hanna
American Journal of Medicine Studies. 2022, 10(1), 1-7. DOI: 10.12691/ajms-10-1-1
Pub. Date: November 20, 2022Views: 4126Downloads: 7882
the presented study preliminarily suggests that femoral artery diameter and other parameters such as age height weight and smoking history can be used for training a random forest classifier model to assess radial artery diameter
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