An algorithm to predict the best treatment for disruptive behavior problems in each child

Project aim is to develop an algorithm that predicts the optimal family support for individual children with early disruptive behavior problems, based on risk factor
relevance, risk factor malleability, and perceived treatment acceptability.


Patty Leijten

Research Priority Area Yield; Research Institute Child Development and Education University of Amsterdam

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Header image: Sarphati Amsterdam