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. 2021 Nov 12;10(13):20. doi: 10.1167/tvst.10.13.20

Table 5.

Comparison of Prediction of Cardiovascular Parameters With Machine Learning With OCT-A, SIVA, and OCT-A + SIVA

Reference Compared Strategy Estimate Standard Error Adjusted P Value
Naïve Bayes
Age
OCT-A OCT-A + SIVA 2.93 1.48 0.14
SIVA OCT-A + SIVA −2.08 1.48 0.35
High blood pressure history
OCT-A OCT-A + SIVA 2.83 0.69 <0.01
SIVA OCT-A + SIVA 0.74 0.69 0.53
Hypercholesterolemia
OCT-A OCT-A + SIVA −3.62 1.21 0.02
SIVA OCT-A + SIVA −0.15 1.21 0.99
KNN
AHA risk score
OCT-A OCT-A + SIVA 1.14 1.19 0.61
SIVA OCT-A + SIVA 4.27 1.19 <0.01
SCORE risk
OCT-A OCT-A + SIVA 0.94 1.40 0.78
SIVA OCT-A + SIVA −4.71 1.40 <0.01
Age
OCT-A OCT-A + SIVA −0.2976 1.5351 0.98
SIVA OCT-A + SIVA −4.3651 1.5351 0.02

OCT-A, optical coherence tomography angiography; SIVA, the Singapore “I” Vessel Assessment.