Predictive Modeling for HIV Testing Using Data Mining techniques | Englisch
49,95 €
Decision trees (random tree and J48), artificial neural network and logistic regression of predictive models were able to predict whether an individual was being tested or not for HIV given that the selected attributes as an input with an accuracy of 96%, 79%, 78% and 74% respectively.
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