Applying Machine-Learning Techniques to Build Self-reported Depression Prediction Models

KEY POINTSExplored the feasibility of machine-learning techniques to build a self-reported depression prediction model for community-dwelling older adults using a publicly available dataset.Built six prediction models using three machine-learning algorithms (logistic regression, logistic regression