ESMAC BEST PAPER 2017: Using machine learning to overcome challenges in GMFCS level assignment.We used the random forest classifier to predict Gross Motor Function Classification System (GMFCS) levels I-IV from patient reported abilities recorded on the Gillette Functional Assessment Questionnaire (FAQ). 
random forest
ESMAC BEST PAPER 2017: Using machine learning to overcome challenges in GMFCS level assignment.We used the random forest classifier to predict Gross Motor Function Classification System (GMFCS) levels I-IV from patient reported abilities recorded on the Gillette Functional Assessment Questionnaire (FAQ). 
The random forest classifier
ESMAC BEST PAPER 2017: Using machine learning to overcome challenges in GMFCS level assignment.We used the random forest classifier to predict Gross Motor Function Classification System (GMFCS) levels I-IV from patient reported abilities recorded on the Gillette Functional Assessment Questionnaire (FAQ). 
machine learning
ESMAC BEST PAPER 2017: Using machine learning to overcome challenges in GMFCS level assignment.We used the random forest classifier to predict Gross Motor Function Classification System (GMFCS) levels I-IV from patient reported abilities recorded on the Gillette Functional Assessment Questionnaire (FAQ). 
the Gillette Functional Assessment Questionnaire (FAQ)
ESMAC BEST PAPER 2017: Using machine learning to overcome challenges in GMFCS level assignment.We used the random forest classifier to predict Gross Motor Function Classification System (GMFCS) levels I-IV from patient reported abilities recorded on the Gillette Functional Assessment Questionnaire (FAQ). 
machine learning