Machine learning models present opportunities to improve quality of care, self-management, and decision-making support to reduce treatment burden and the risk of chronic condition management burnout, researchers say.
They describe their work in "Reducing Treatment Burden Among People With Chronic Conditions Using Machine Learning: Viewpoint," published in JMIR Biomedical Engineering.
The authors introduce an emerging ML model called "the outcomes model" as an example of a framework, which integrates behavior and data science principles. The team concludes that machine learning-based biometric predictions used in the context of established behavior change frameworks offer potential to support and reduce treatment burden, as well as mitigate burnout risk for those living with chronic conditions, like diabetes.
From JMIR Publications
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