Abstract
Medication non-adherence contributes to significant health care costs and detriments overall quality of life. Non-adherence may cause underlying conditions to spiral out of control until a disease is no longer manageable. Historically, only around 60% of prescribed medications are taken properly. Blue Cross and Blue Shield of Louisiana introduces the risk of medication non-adherence (RoMNA) models which leverage machine learning to predict whether someone is at risk of not taking their medication as prescribed. The models predict three classes of drugs: diabetes medications (non-insulin), anti-hypertensives and statins.
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