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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. Variables used in the model include demographics, past medical history, ejection fraction, and lab values.

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Proactive Wellness: The Lifesaving Benefits of Regular Check-ups 

East Cary Family Physicians

These appointments aim to assess your overall health, identify potential risk factors, and detect any underlying health conditions that might be developing silently. Many health conditions, such as hypertension, diabetes, and certain cancers, can develop with little to no noticeable symptoms in their initial stages.