Extended Data Fig. 8: Coefficients and ROC curves for MI prediction obtained from the AREDS datasets.
From: Predicting myocardial infarction through retinal scans and minimal personal information

Coefficients and ROC curves for MI prediction obtained from the AREDS datasets: (a) Coefficients obtained from the logistic regression applied to myocardial infarction prediction using the AREDS demographic data (sex, diastolic blood pressure (dbpa), systolic blood pressure (sbpa), smoking status (ss), body mass index (bmi) and age), and (b) ROC curve obtained for 10-fold cross-validation for MI predictions using only demographic data available in the AREDS dataset, and (c) ROC curve obtained for MI predictions using a logistic regression model trained on the UK Biobank and evaluated on the AREDS dataset. The solid line represents the logistic regression, and the dotted line represents the identity line.