Incorporation of a machine learning model in hepatitis C virus screening leads to a marked improvement in efficiency

1. A comparison of a traditional decision tree approach with a machine-learning (ML)-aided strategy suggests that machine-learning tools offer increased accuracy for hepatitis C virus screening 2. Prospective evaluation of the machine-learning model suggests a nearly 100-fold increase in efficiency as compared to traditional screening methods  Evidence Rating Level: 1 (Excellent) Study Rundown: Clinical guidelines […]

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