Remove Chronic Disease Remove Hypertension Remove Patients Remove Utilities
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Using Machine Learning to advance primary care: an example of predictive modeling of hypertension risk to impact outcomes [Hypertension]

Annals of Family Medicine

Context: While hypertension is the most common chronic disease cared for during adult primary care visits, it is challenging to know which hypertensive patients have the highest risk of cardiovascular complications in the future. A total of 269,411 patients were used for model training.

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Ambulatory Behavioral Health Referral Patterns in the Setting of Chronic Medical Conditions [Behavioral, psychosocial, and mental illness]

Annals of Family Medicine

Context: Patients with chronic medical conditions (CCs) and behavioral comorbidities have lower quality of life and increased healthcare expenses. Our work builds a foundation for cost-effective workflows to support patients with multimorbidity. 8% (n= 1,146) were ordered for medical condition management.

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