Predicting and explaining recurrent child abuse using interpretable machine learning: Evidence from national-level child abuse data in South Korea (2017-2020).

OBJECTIVE: This study aimed to develop machine learning models to predict the risk of each type of recurrent child abuse using national-level child abuse data. Additionally, it sought to identify key factors based on abuse type and explain recurrence…

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