Machine Learning-Based Anomaly Detection Algorithms to Alert Patients Using Sensor Augmented Pump of Infusion Site Failures
Meneghetti, L., Dassau, E., Doyle III, F. J., & Del Favero, S. (2021). Journal of Diabetes Science and Technology.
Research Areas
Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
The success of the human genome project has ushered in a new era that emphasizes a systemic or integrated approach to ascertain the cellular behavior arising from complex cellular networks. Scientists are now embarking on a quest to elucidate the organization and control of cellular networks that underlie the phenotypic behavior of a cell; these […]
