Predicting rehabilitation potential with the K -nearest neighbors algorithm: a comparison with the current clinical assessment protocol

Using data from eight Community Care Access Centres (CCACs) in Ontario, we demonstrate that an automatic, data-driven, machine learning algorithm such as the K-nearest neighbors (KNN) algorithm can predict rehabilitation potential more effectively than the current Clinical Assessment Protocol (CAP). Implications for clinical decision-making and computerized health information systems are discussed.