statistiche ricercatore

Nome	#
Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas	93
A personalized and interpretable deep learning based approach to predict blood glucose concentration in type 1 diabetes	88
Fault Detection in Artificial Pancreas: A Model-Free approach	66
Model-Based Detection and Classification of Insulin Pump Faults and Missed Meal Announcements in Artificial Pancreas Systems for Type 1 Diabetes Therapy	63
Detection of Insulin Pump Malfunctioning to Improve Safety in Artificial Pancreas Using Unsupervised Algorithms	57
Real- time Basal Insulin Attenuation Based on Continuous Glucose Monitoring (CGM): Assessment of State-of-Art Algorithms in 14-Day in Silico Scenario	29
Personalized machine learning algorithm based on shallow network and error imputation module for an improved blood glucose prediction	28
Machine Learning-Based Anomaly Detection Algorithms to Alert Patients Using Sensor Augmented Pump of Infusion Site Failures	28
In Silico Assessment of State-of-Art and New Algorithms for Real-time Basal Insulin Modulation in Sensor-Augmented Pumps	23
System for detecting malfunctions in insulin delivery devices	20
Totale	495

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2018/2019	11	0	0	0	0	0	0	0	0	0	0	0	11
2019/2020	71	8	6	0	2	5	2	8	16	12	5	6	1
2020/2021	80	2	3	1	3	1	1	34	8	11	12	4	0
2021/2022	133	4	23	16	2	6	17	4	19	7	0	8	27
2022/2023	68	19	3	1	1	7	12	0	4	7	0	12	2
2023/2024	111	14	16	11	10	3	12	8	5	3	6	8	15
Totale													495