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Risk Prediction Model for Adverse Child Physical & Socioemotional Development
Develop a machine learning-based tool to incorporate paternal and other family factors in predicting at-risk children
Paternal Intervention to Improve Early Cognitive Development
Develop an adaptive (reinforcement learning) mobile/wearable message delivery application to provide support to expectant/current fathers and advice on good parenting practices
Working Group
Intervention Design Advisory Panel
Collaborators
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Evelyn Law (Interventions)
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Keri McCrickerd (Interventions)
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Jonathan Huang (Interventions)
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Michelle Kee (Interventions)
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Bibhas Chakraborty (Adaptive Trial Design / Methods)
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Johan Eriksson (GUSTO/SPRESTO)
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Michael Meaney (MAMS)
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