The AI machine learning algorithm used was XGBoost (eXtreme Gradient Boosting), a scalable, open-source software library for distributed gradient-boosted decision tree (GBDT) algorithms. XGBoost ...

The study tested four machine learning algorithms to analyze the data: Gradient tree boosting, random forest, classification and regression trees, or CART, and support vector machine.

Wearable devices that use machine learning can accurately detect and rate Parkinson’s disease tremors outside the clinical setting.