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Sean Knowles, Yitbarek Demesie, Kathy Guan, Mareike Janiak


Our project focused on analyzing a dataset of claim billing data for prescription medications.

The goals for our project were twofold:
1. Predict whether a prescription medication request would be accepted or rejected by insurance.
2. If accepted, predict the amount of money the patient will likely be required to pay for the prescription.

Stakeholders for this project include CoverMyMeds, as well as patients and clinicians. By being able to know whether a medication is likely to be accepted and how much the patient will have to pay, medical professionals can make informed decisions at the point of prescription, especially when multiple medications may be available.

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