HIGHLIGHTS
SUMMARY
The approach that the authors describe below is an explanatory summary of the data preprocessing (for cohort selection) and informatics procedures (for drug-disease testing) that the authors provide in cookbook format in the "Supplementary Information" accompanying this manuscript, supporting Supplementary Tables 1-5 in the component "Supplementary Methods" section. To mimic the enrollment of pregnant patients in a drug safety experiment, the authors used ML to curate and block appropriate treatment and control (drug-exposed vs. not drugexposed) cohorts across all 1,054 agents that are documented as prescriptions to pregnant patients in . . .
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