<p>A potential analytical tool may help providers identify those at risk for HIV in efforts to offer pre-exposure prophylaxis (PrEP). Using a machine-learning algorithm to predict who could become infected with HIV during a three-year period, researchers were able to flag 2.2% of 3.7 million patients as high or very high risk.</p>

New Tool May Identify People at Risk for HIV

October 1, 2019

A potential analytical tool may help providers identify those at risk for HIV in efforts to offer pre-exposure prophylaxis (PrEP). Using a machine-learning algorithm to predict who could become infected with HIV during a three-year period, researchers were able to flag 2.2% of 3.7 million patients as high or very high risk.

Issue Date: October 1, 2019

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Financial Disclosure: Consulting Editor Robert A. Hatcher, MD, MPH, Nurse Planner Melanie Deal, MS, WHNP-BC, FNP-BC, Author Rebecca Bowers, Editor Jill Drachenberg, Executive Editor Shelly Morrow Mark, and Editorial Group Manager Leslie Coplin report no consultant, stockholder, speaker’s bureau, research, or other financial relationships with companies having ties to this field of study.

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