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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. The model was trained on 80% of the data and validated on 20% of the data.

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PC Trials at State of Science: Tom LeBlanc, Kate Courtright, & Corita Grudzen

GeriPal

Ten years ago we would have been hard pressed to find 3 clinical trial abstracts submitted to the annual meeting, much less high quality randomized trials with robust measures, sample sizes, and analytics plans. These are patients who had a pre-existing chronic disease, very broadly defined. I’m just stunned even writing that!