Predicting youth at high risk of aging out of foster care using machine learning methods

Youth who exit the nation’s foster care system without permanency are at high risk of experiencing difficulties during the transition to adulthood. To present an illustrative test of whether an algorithmic decision aid could be used to identify youth at risk of existing foster care without permanenc...

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