Early warning and risk estimation methods based on unstructured text in electronic medical records to improve patient adherence and care.

In this paper we present risk-estimation models and methods for early detection of patient non-adherence based on unstructured text in patient records. The primary objectives are to perform early interventions on patients at risk of non-adherence and improve outcomes. We analyzed over 1.