BERNARDINI, MICHELE
BERNARDINI, MICHELE
A Clinical Decision Support System for Chronic Venous Insufficiency
2017-01-01 Calamanti, Chiara; Cenci, Annalisa; Bernardini, Michele; Frontoni, Emanuele; Zingaretti, Primo
A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy
2021-01-01 Bernardini, Michele; Romeo, Luca; Mancini, Adriano; Frontoni, Emanuele
A Cloud-Based Healthcare Infrastructure for Neonatal Intensive-Care Units
2019-01-01 Migliorelli, Lucia; Cenci, Annalisa; Bernardini, Michele; Romeo, Luca; Moccia, Sara; Zingaretti, Primo
A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data Sharing
2020-01-01 Frontoni, Emanuele; Romeo, Luca; Bernardini, Michele; Moccia, Sara; Migliorelli, Lucia; Paolanti, Marina; Ferri, Alessandro; Misericordia, Paolo; Mancini, Adriano; Zingaretti, Primo
A machine learning algorithm for the prediction of complications incorporated in electronic medical records improves type 2 diabetes care
2025-01-01 Nicolucci, Antonio; Vespasiani, Giacomo; Mannino, Domenico; Russo, Giuseppina T.; Lucisano, Giuseppe; Rossi, Maria Chiara; Ponzani, Paola; De Cosmo, Salvatore; Di Cianni, Graziano; Lencioni, Cristina; Romeo, Luca; Bernardini, Michele; Frontoni, Emanuele; Candido, Riccardo
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets
2023-01-01 Bernardini, Michele; Doinychko, Anastasiia; Romeo, Luca; Frontoni, Emanuele; Amini, Massih-Reza
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution
2021-01-01 Bernardini, Michele; Romeo, Luca; Frontoni, Emanuele; Amini, Massih-Reza
A sequential deep learning application for recognising human activities in smart homes
2019-01-01 Liciotti, Daniele; Bernardini, Michele; Romeo, Luca; Frontoni, Emanuele
An agent-based WCET analysis for top-view person re-identification
2018-01-01 Paolanti, M.; Placidi, V.; Bernardini, M.; Felicetti, A.; Pietrini, R.; Frontoni, E.
Augmented Microscopy for DNA Damage Quantification: A Machine Learning Tool for Environmental, Medical and Health Sciences
2019-01-01 Bernardini, Michele; Ferri, Alessandro; Migliorelli, Lucia; Moccia, Sara; Romeo, Luca; Silvestri, Sonia; Tiano, Luca; Mancini, Adriano
Cyber Physical Systems for Industry 4.0: Towards Real Time Virtual Reality in Smart Manufacturing
2018-01-01 Frontoni, Emanuele; Loncarski, Jelena; Pierdicca, Roberto; Bernardini, Michele; Sasso, Michele
Development of an automatic procedure to mechanically characterize soft tissue materials
2016-01-01 Innocenti, Bernardo; Lambert, Pierre; Larrieu, Jean-Charles; Pianigiani, Silvia; Paolanti, Marina; Bernardini, Michele; Cenci, Annalisa; Frontoni, Emanuele
Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine
2020-01-01 Bernardini, Michele; Romeo, Luca; Misericordia, Paolo; Frontoni, Emanuele
Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach
2020-01-01 Bernardini, Michele; Morettini, Micaela; Romeo, Luca; Frontoni, Emanuele; Burattini, Laura
Federated Learning Towards the Unknown: A Deep Dive Into Diabetic Retinopathy Prediction from Real-World EHR Structured Data on Unseen Diabetic Centers
2025-01-01 Cacciatore, Alessandro; Di Cosmo, Mariachiara; Frontoni, Emanuele; Bernardini, Michele
Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients
2021-01-01 Montomoli, Jonathan; Romeo, Luca; Moccia, Sara; Bernardini, Michele; Migliorelli, Lucia; Berardini, Daniele; Donati, Abele; Carsetti, Andrea; Bocci, Maria Grazia; Wendel Garcia, Pedro David; Fumeaux, Thierry; Guerci, Philippe; Schüpbach, Reto Andreas; Ince, Can; Frontoni, Emanuele; Hilty, Matthias Peter; Alfaro-Farias, Mario; Vizmanos-Lamotte, Gerardo; Tschoellitsch, Thomas; Meier, Jens; Aguirre-Bermeo, Hernán; Apolo, Janina; Martínez, Alberto; Jurkolow, Geoffrey; Delahaye, Gauthier; Novy, Emmanuel; Losser, Marie-Reine; Wengenmayer, Tobias; Rilinger, Jonathan; Staudacher, Dawid L.; David, Sascha; Welte, Tobias; Stahl, Klaus; Pavlos”, “Agios; Aslanidis, Theodoros; Korsos, Anita; Babik, Barna; Nikandish, Reza; Rezoagli, Emanuele; Giacomini, Matteo; Nova, Alice; Fogagnolo, Alberto; Spadaro, Savino; Ceriani, Roberto; Murrone, Martina; Wu, Maddalena A.; Cogliati, Chiara; Colombo, Riccardo; Catena, Emanuele; Turrini, Fabrizio; Simonini, Maria Sole; Fabbri, Silvia; Potalivo, Antonella; Facondini, Francesca; Gangitano, Gianfilippo; Perin, Tiziana; Grazia Bocci, Maria; Antonelli, Massimo; Gommers, Diederik; Rodríguez-García, Raquel; Gámez-Zapata, Jorge; Taboada-Fraga, Xiana; Castro, Pedro; Tellez, Adrian; Lander-Azcona, Arantxa; Escós-Orta, Jesús; Martín-Delgado, Maria C.; Algaba-Calderon, Angela; Franch-Llasat, Diego; Roche-Campo, Ferran; Lozano-Gómez, Herminia; Zalba-Etayo, Begoña; Michot, Marc P.; Klarer, Alexander; Ensner, Rolf; Schott, Peter; Urech, Severin; Zellweger, Nuria; Merki, Lukas; Lambert, Adriana; Laube, Marcus; Jeitziner, Marie M.; Jenni-Moser, Beatrice; Wiegand, Jan; Yuen, Bernd; Lienhardt-Nobbe, Barbara; Westphalen, Andrea; Salomon, Petra; Drvaric, Iris; Hillgaertner, Frank; Sieber, Marianne; Dullenkopf, Alexander; Petersen, Lina; Chau, Ivan; Ksouri, Hatem; Sridharan, Govind Oliver; Cereghetti, Sara; Boroli, Filippo; Pugin, Jerome; Grazioli, Serge; Rimensberger, Peter C.; Bürkle, Christian; Marrel, Julien; Brenni, Mirko; Fleisch, Isabelle; Lavanchy, Jerome; Perez, Marie-Helene; Ramelet, Anne-Sylvie; Weber, Anja Baltussen; Gerecke, Peter; Christ, Andreas; Ceruti, Samuele; Glotta, Andrea; Marquardt, Katharina; Shaikh, Karim; Hübner, Tobias; Neff, Thomas; Redecker, Hermann; Moret-Bochatay, Mallory; Bentrup, Friederikemeyer Zu; Studhalter, Michael; Stephan, Michael; Brem, Jan; Gehring, Nadine; Selz, Daniela; Naon, Didier; Kleger, Gian-Reto; Pietsch, Urs; Filipovic, Miodrag; Ristic, Anette; Sepulcri, Michael; Heise, Antje; Franchitti Laurent, Marilene; Laurent, Jean-Christophe; Wendel Garcia, Pedro D.; Schuepbach, Reto; Heuberger, Dorothea; Bühler, Philipp; Brugger, Silvio; Fodor, Patricia; Locher, Pascal; Camen, Giovanni; Gaspert, Tomislav; Jovic, Marija; Haberthuer, Christoph; Lussman, Roger F.; Colak, Elif
Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction
2018-01-01 Calamanti, C.; Paolanti, M.; Romeo, L.; Bernardini, M.; Frontoni, E.
Metodo per la predizione dell'insorgenza di complicanze a breve-medio termine nel paziente diabetico e della loro stratificazione temporale
2024-01-01 Vespasiani, Giacomo; Vespasiani, Marco; Frontoni, Emanuele; Romeo, Luca; Bernardini, Michele; Nicolucci, Antonio
Prediction of complications of type 2 Diabetes: A Machine learning approach
2022-01-01 Nicolucci, Antonio; Romeo, Luca; Bernardini, Michele; Vespasiani, Marco; Rossi, Maria Chiara; Petrelli, Massimiliano; Ceriello, Antonio; Di Bartolo, Paolo; Frontoni, Emanuele; Vespasiani, Giacomo
Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data
2019-01-01 Ferri, Alessandro; Rosati, Riccardo; Bernardini, Michele; Gabrielli, Leonardo; Casaccia, Sara; Romeo, Luca; Monteriù, Andrea; Frontoni, Emanuele
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Clinical Decision Support System for Chronic Venous Insufficiency | 1-gen-2017 | Calamanti, Chiara; Cenci, Annalisa; Bernardini, Michele; Frontoni, Emanuele; Zingaretti, Primo | |
| A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy | 1-gen-2021 | Bernardini, Michele; Romeo, Luca; Mancini, Adriano; Frontoni, Emanuele | |
| A Cloud-Based Healthcare Infrastructure for Neonatal Intensive-Care Units | 1-gen-2019 | Migliorelli, Lucia; Cenci, Annalisa; Bernardini, Michele; Romeo, Luca; Moccia, Sara; Zingaretti, Primo | |
| A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data Sharing | 1-gen-2020 | Frontoni, Emanuele; Romeo, Luca; Bernardini, Michele; Moccia, Sara; Migliorelli, Lucia; Paolanti, Marina; Ferri, Alessandro; Misericordia, Paolo; Mancini, Adriano; Zingaretti, Primo | |
| A machine learning algorithm for the prediction of complications incorporated in electronic medical records improves type 2 diabetes care | 1-gen-2025 | Nicolucci, Antonio; Vespasiani, Giacomo; Mannino, Domenico; Russo, Giuseppina T.; Lucisano, Giuseppe; Rossi, Maria Chiara; Ponzani, Paola; De Cosmo, Salvatore; Di Cianni, Graziano; Lencioni, Cristina; Romeo, Luca; Bernardini, Michele; Frontoni, Emanuele; Candido, Riccardo | |
| A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets | 1-gen-2023 | Bernardini, Michele; Doinychko, Anastasiia; Romeo, Luca; Frontoni, Emanuele; Amini, Massih-Reza | |
| A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution | 1-gen-2021 | Bernardini, Michele; Romeo, Luca; Frontoni, Emanuele; Amini, Massih-Reza | |
| A sequential deep learning application for recognising human activities in smart homes | 1-gen-2019 | Liciotti, Daniele; Bernardini, Michele; Romeo, Luca; Frontoni, Emanuele | |
| An agent-based WCET analysis for top-view person re-identification | 1-gen-2018 | Paolanti, M.; Placidi, V.; Bernardini, M.; Felicetti, A.; Pietrini, R.; Frontoni, E. | |
| Augmented Microscopy for DNA Damage Quantification: A Machine Learning Tool for Environmental, Medical and Health Sciences | 1-gen-2019 | Bernardini, Michele; Ferri, Alessandro; Migliorelli, Lucia; Moccia, Sara; Romeo, Luca; Silvestri, Sonia; Tiano, Luca; Mancini, Adriano | |
| Cyber Physical Systems for Industry 4.0: Towards Real Time Virtual Reality in Smart Manufacturing | 1-gen-2018 | Frontoni, Emanuele; Loncarski, Jelena; Pierdicca, Roberto; Bernardini, Michele; Sasso, Michele | |
| Development of an automatic procedure to mechanically characterize soft tissue materials | 1-gen-2016 | Innocenti, Bernardo; Lambert, Pierre; Larrieu, Jean-Charles; Pianigiani, Silvia; Paolanti, Marina; Bernardini, Michele; Cenci, Annalisa; Frontoni, Emanuele | |
| Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine | 1-gen-2020 | Bernardini, Michele; Romeo, Luca; Misericordia, Paolo; Frontoni, Emanuele | |
| Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach | 1-gen-2020 | Bernardini, Michele; Morettini, Micaela; Romeo, Luca; Frontoni, Emanuele; Burattini, Laura | |
| Federated Learning Towards the Unknown: A Deep Dive Into Diabetic Retinopathy Prediction from Real-World EHR Structured Data on Unseen Diabetic Centers | 1-gen-2025 | Cacciatore, Alessandro; Di Cosmo, Mariachiara; Frontoni, Emanuele; Bernardini, Michele | |
| Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients | 1-gen-2021 | Montomoli, Jonathan; Romeo, Luca; Moccia, Sara; Bernardini, Michele; Migliorelli, Lucia; Berardini, Daniele; Donati, Abele; Carsetti, Andrea; Bocci, Maria Grazia; Wendel Garcia, Pedro David; Fumeaux, Thierry; Guerci, Philippe; Schüpbach, Reto Andreas; Ince, Can; Frontoni, Emanuele; Hilty, Matthias Peter; Alfaro-Farias, Mario; Vizmanos-Lamotte, Gerardo; Tschoellitsch, Thomas; Meier, Jens; Aguirre-Bermeo, Hernán; Apolo, Janina; Martínez, Alberto; Jurkolow, Geoffrey; Delahaye, Gauthier; Novy, Emmanuel; Losser, Marie-Reine; Wengenmayer, Tobias; Rilinger, Jonathan; Staudacher, Dawid L.; David, Sascha; Welte, Tobias; Stahl, Klaus; Pavlos”, “Agios; Aslanidis, Theodoros; Korsos, Anita; Babik, Barna; Nikandish, Reza; Rezoagli, Emanuele; Giacomini, Matteo; Nova, Alice; Fogagnolo, Alberto; Spadaro, Savino; Ceriani, Roberto; Murrone, Martina; Wu, Maddalena A.; Cogliati, Chiara; Colombo, Riccardo; Catena, Emanuele; Turrini, Fabrizio; Simonini, Maria Sole; Fabbri, Silvia; Potalivo, Antonella; Facondini, Francesca; Gangitano, Gianfilippo; Perin, Tiziana; Grazia Bocci, Maria; Antonelli, Massimo; Gommers, Diederik; Rodríguez-García, Raquel; Gámez-Zapata, Jorge; Taboada-Fraga, Xiana; Castro, Pedro; Tellez, Adrian; Lander-Azcona, Arantxa; Escós-Orta, Jesús; Martín-Delgado, Maria C.; Algaba-Calderon, Angela; Franch-Llasat, Diego; Roche-Campo, Ferran; Lozano-Gómez, Herminia; Zalba-Etayo, Begoña; Michot, Marc P.; Klarer, Alexander; Ensner, Rolf; Schott, Peter; Urech, Severin; Zellweger, Nuria; Merki, Lukas; Lambert, Adriana; Laube, Marcus; Jeitziner, Marie M.; Jenni-Moser, Beatrice; Wiegand, Jan; Yuen, Bernd; Lienhardt-Nobbe, Barbara; Westphalen, Andrea; Salomon, Petra; Drvaric, Iris; Hillgaertner, Frank; Sieber, Marianne; Dullenkopf, Alexander; Petersen, Lina; Chau, Ivan; Ksouri, Hatem; Sridharan, Govind Oliver; Cereghetti, Sara; Boroli, Filippo; Pugin, Jerome; Grazioli, Serge; Rimensberger, Peter C.; Bürkle, Christian; Marrel, Julien; Brenni, Mirko; Fleisch, Isabelle; Lavanchy, Jerome; Perez, Marie-Helene; Ramelet, Anne-Sylvie; Weber, Anja Baltussen; Gerecke, Peter; Christ, Andreas; Ceruti, Samuele; Glotta, Andrea; Marquardt, Katharina; Shaikh, Karim; Hübner, Tobias; Neff, Thomas; Redecker, Hermann; Moret-Bochatay, Mallory; Bentrup, Friederikemeyer Zu; Studhalter, Michael; Stephan, Michael; Brem, Jan; Gehring, Nadine; Selz, Daniela; Naon, Didier; Kleger, Gian-Reto; Pietsch, Urs; Filipovic, Miodrag; Ristic, Anette; Sepulcri, Michael; Heise, Antje; Franchitti Laurent, Marilene; Laurent, Jean-Christophe; Wendel Garcia, Pedro D.; Schuepbach, Reto; Heuberger, Dorothea; Bühler, Philipp; Brugger, Silvio; Fodor, Patricia; Locher, Pascal; Camen, Giovanni; Gaspert, Tomislav; Jovic, Marija; Haberthuer, Christoph; Lussman, Roger F.; Colak, Elif | |
| Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction | 1-gen-2018 | Calamanti, C.; Paolanti, M.; Romeo, L.; Bernardini, M.; Frontoni, E. | |
| Metodo per la predizione dell'insorgenza di complicanze a breve-medio termine nel paziente diabetico e della loro stratificazione temporale | 1-gen-2024 | Vespasiani, Giacomo; Vespasiani, Marco; Frontoni, Emanuele; Romeo, Luca; Bernardini, Michele; Nicolucci, Antonio | |
| Prediction of complications of type 2 Diabetes: A Machine learning approach | 1-gen-2022 | Nicolucci, Antonio; Romeo, Luca; Bernardini, Michele; Vespasiani, Marco; Rossi, Maria Chiara; Petrelli, Massimiliano; Ceriello, Antonio; Di Bartolo, Paolo; Frontoni, Emanuele; Vespasiani, Giacomo | |
| Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data | 1-gen-2019 | Ferri, Alessandro; Rosati, Riccardo; Bernardini, Michele; Gabrielli, Leonardo; Casaccia, Sara; Romeo, Luca; Monteriù, Andrea; Frontoni, Emanuele |