Abstract: This letter evaluates the performance of a nonsupervised clustering method for identifying abrupt changepoints in streaming sensor data. The proposed method utilizes the Jenks natural breaks ...

Abstract: This research aims to explore the use of modern complex defensive machine learning algorithms in the provision of predictive analytics for health improvement. Incorporating electronic health ...