A machine learning approach to predict quality of life changes in patients with Parkinson's Disease.

Tyler D AlexanderChandrasekhar NatarajChengyuan Wu

Published in: Annals of clinical and translational neurology (2023)

A learning model has the potential to rule in patients who may exhibit clinically significant worsening in QoL at 12 months. These patients may require further testing and increased focus.

Keyphrases

machine learning
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
risk assessment
patient reported outcomes
artificial intelligence
human health