Machine Learning: Peripheral Artery Disease Example

Issue:

A pharmaceutical client approached DMS to evaluate whether the use of a specific anti-thrombotic agent was related to secondary prevention of thromboembolic complications associated with symptomatic peripheral artery disease (PAD) or was used as primary prevention of thromboembolic complications after a stent procedure among patients that also had concomitant coronary artery disease (CAD) with PAD.

Solution:

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