Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging

@article{Dvornek2017PredictionOA,
  title={Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging},
  author={Nicha C. Dvornek and Daniel Y.-J. Yang and Archana Venkataraman and Pamela Ventola and Lawrence H. Staib and Kevin A. Pelphrey and James S. Duncan},
  journal={CoRR},
  year={2017},
  volume={abs/1805.09799}
}
Treating children with autism spectrum disorders (ASD) with behavioral interventions, such as Pivotal Response Treatment (PRT), has shown promise in recent studies. However, deciding which therapy is best for a given patient is largely by trial and error, and choosing an ineffective intervention results in loss of valuable treatment time. We propose predicting patient response to PRT from baseline task-based fMRI by the novel application of a random forest and tree bagging strategy. Our… CONTINUE READING
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