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2018 ACL ACL 2018

Toward Cross-Domain Engagement Analysis in Medical Notes

AbstractWe present a novel annotation task evaluating a patient’s engagement with their health care regimen. The concept of engagement supplements the traditional concept of adherence with a focus on the patient’s affect, lifestyle choices, and health goal status. We describe an engagement annotation task across two patient note domains: traditional clinical notes and a novel domain, care manager notes, where we find engagement to be more common. The annotation task resulted in a kappa of .53, suggesting strong annotator intuitions regarding engagement-bearing language. In addition, we report the results of a series of preliminary engagement classification experiments using domain adaptation.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Healthcare & Medicine and Natural Language Processing

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