Assessing cardiovascular risks from a mid-thigh CT image: a tree-based machine learning approach using radiodensitometric distributions.

As evident in Table 2 , the use of the 11 NTRA parameters in each logistic regression model yielded high overall model significance to each cardiac pathophysiology (p < 0.001), and both age and sex were indeed highly significant confounders (p < 0.001).

also in 101,808 other papers

Notably, both fat amplitude and connective tissue width were significantly and inversely-related to all three outcome conditions; this suggests that an increase in fat tissue, concomitant with a wider connective tissue distribution, may be significant protective factors against cardiovascular pathophysiology.

also in 9,355 other papers