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Logistic regression representing the associations between the characteristics of participants and test for SARS-COV-2 among people without having contact with someone tested positi...

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Overview of the procedure followed to reduce class imbalance (equalization strategy).

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Logistic regression representing the associations between the characteristics of participants and test outcome for SARS-COV-2 infection.

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Baseline characteristics of participants stratified into SARS-COV-2 positive and negative.

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Overall performance of machine learning algorithms by AUCs for the 8 subsets.

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Proportion of predicted values averaged for 4 subsets.

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Coronary Artery Calcium and Cognitive Function in Dutch Adults: Cross‐Sectional Results of the Population‐Based ImaLife Study