Using random forests to model 90-day hometime in people with stroke.
Jessalyn K HolodinskyAmy Y X YuMoira K KapralPeter C AustinPublished in: BMC medical research methodology (2021)
Random forests may be a useful method for analyzing 90-day hometime and capturing the complex non-linear relationships which exist between predictors and hometime. Future work should compare random forests to other models and focus on improving the accuracy of predictions of extreme values of hometime.