Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas - Meneghetti, Lorenzo; Terzi, Matteo; Del Favero, Simone; Susto, Gian Antonio; Cobelli, Claudio (IEEE transactions on control systems technology, 2020)
Keywords: Actuators; Adaptation models; Algorithms; Anomalies; Anomaly detection (AD); Biomedical monitoring; Computer simulation; connectivity-based outlier factor (COF); data mining; Data models; Datasets; Diabetes; Embedded systems; Fault detection; Insulin; insulin pump faults; isolation forest (iForest); local outlier factor (LOF); machine learning (ML); Monitoring; Monitoring systems; Multidimensional data; Outliers (statistics); Pancreas; Remote monitoring; Sugar; Type 1 Diabetes (T1D)