Artificial neural network to classify cognitive impairment using gait and clinical variables

Combining gait and clinical variables could increase the accuracy of identifying cognitive impairment (CI) in geriatric patients. We aimed to classify geriatric patients with and without CI based on clinical variables, gait, or a combination of clinical and gait variables, using two machine learning methods, Random Forest (RF) and Artificial Neural Network (ANN).