Prediction and prevention of hypoglycaemic events in type-1 diabetic patients using machine learning J Vehí, I Contreras, S Oviedo, L Biagi, A Bertachi Health informatics journal 26 (1), 703-718, 2020 | 81 | 2020 |
Prediction of Blood Glucose Levels And Nocturnal Hypoglycemia Using Physiological Models and Artificial Neural Networks. A Bertachi, L Biagi, I Contreras, N Luo, J Vehí KDH@ IJCAI, 85-90, 2018 | 72 | 2018 |
Prediction of nocturnal hypoglycemia in adults with type 1 diabetes under multiple daily injections using continuous glucose monitoring and physical activity monitor A Bertachi, C Viñals, L Biagi, I Contreras, J Vehí, I Conget, M Giménez Sensors 20 (6), 1705, 2020 | 71 | 2020 |
Accuracy of continuous glucose monitoring before, during, and after aerobic and anaerobic exercise in patients with type 1 diabetes mellitus L Biagi, A Bertachi, C Quirós, M Giménez, I Conget, J Bondia, J Vehí Biosensors 8 (1), 22, 2018 | 60 | 2018 |
Using Grammatical Evolution to Generate Short-term Blood Glucose Prediction Models. I Contreras, A Bertachi, L Biagi, J Vehí, S Oviedo KDH@ IJCAI, 91-96, 2018 | 33 | 2018 |
Modeling the error of the medtronic paradigm veo enlite glucose sensor L Biagi, CM Ramkissoon, A Facchinetti, Y Leal, J Vehi Sensors 17 (6), 1361, 2017 | 21 | 2017 |
Bearing fault detection using relative entropy of wavelet components and artificial neural networks HL Schmitt, LRB Silva, PR Scalassara, A Goedtel 2013 9th IEEE International Symposium on Diagnostics for Electric Machines …, 2013 | 18 | 2013 |
Individual categorisation of glucose profiles using compositional data analysis L Biagi, A Bertachi, M Giménez, I Conget, J Bondia, JA Martín-Fernández, ... Statistical methods in medical research 28 (12), 3550-3567, 2019 | 14 | 2019 |
Dynamic Rule‐Based Algorithm to Tune Insulin‐on‐Board Constraints for a Hybrid Artificial Pancreas System A Bertachi, L Biagi, A Beneyto, J Vehí Journal of Healthcare Engineering 2020 (1), 1414597, 2020 | 10 | 2020 |
Control de la glucemia durante el ejercicio físico aeróbico y anaeróbico mediante un nuevo sistema de páncreas artificial C Quirós, A Bertachi, M Giménez, L Biagi, J Viaplana, C Viñals, J Vehí, ... Endocrinología, Diabetes y Nutrición 65 (6), 342-347, 2018 | 8 | 2018 |
Compositional Data Analysis of Type 1 Diabetes Data. L Biagi, JA Martin-Fernandex, J Vehí KDH@ IJCAI, 8-12, 2018 | 7 | 2018 |
Blood glucose monitoring during aerobic and anaerobic physical exercise using a new artificial pancreas system C Quirós, A Bertachi, M Giménez, L Biagi, J Viaplana, C Viñals, J Vehí, ... Endocrinología, Diabetes y Nutrición (English Ed.) 65 (6), 342-347, 2018 | 7 | 2018 |
Extensive assessment of blood glucose monitoring during postprandial period and its impact on closed-loop performance L Biagi, A Hirata Bertachi, I Conget, C Quirós, M Giménez, ... Journal of diabetes science and technology 11 (6), 1089-1095, 2017 | 4 | 2017 |
CLASSIFICATION OF SIMULATED MOTOR SIGNALS WITH BEARING FAULTS USING NEURAL NETWORKS, WAVELETS, AND PREDICTABILITY MEASURES HL Schmitt, LRB Silva, PR Scalassara, A Goedtel XI Simpósio Brasileiro de Automação Inteligente (SBAI), 2013, Fortaleza - CE, 2013 | 4 | 2013 |
Probabilistic Model of Transition between Categories of Glucose Profiles in Patients with Type 1 Diabetes Using a Compositional Data Analysis Approach L Biagi, A Bertachi, M Giménez, I Conget, J Bondia, JA Martín-Fernández, ... Sensors 21 (11), 3593, 2021 | 3 | 2021 |
Controle de um Processo Multivariável em uma Planta Didática Industrial Utilizando Redes Neurais AH Bertachi, LR BIAGI SILVA, RR Sumar, BA ANGÉLICO, A Goedtel Anais do XI Simpósio Brasileiro de Automação Inteligente (SBAI 2013 …, 2013 | 3 | 2013 |
Validation of a Probabilistic Prediction Model for Patients with Type 1 Diabetes Using Compositional Data Analysis A Cabrera, L Biagi, A Beneyto, E Estremera, I Contreras, M Giménez, ... Mathematics 11 (5), 1241, 2023 | 2 | 2023 |
Artificial intelligence-based decision support systems for diabetes I Contreras, A Bertachi, L Biagi, S Oviedo, C Ramkissoon, J Vehi Artificial Intelligence in Precision Health, 329-357, 2020 | 2 | 2020 |
Classificação de falhas em maquinas eletricas usando redes neurais, modelos wavelet e medidas de informação LRB Silva Universidade Tecnológica Federal do Paraná, 2014 | 2 | 2014 |
Análise de fadiga muscular de sinais EMG com wavelet LPN De Oliveira, PR Scalassara, LR Altimari, LRB Silva Proceeding Series of the Brazilian Society of Computational and Applied …, 2013 | 2 | 2013 |