Michele Bernardini
Orcid: 0000-0003-4035-1115
According to our database1,
Michele Bernardini authored at least 16 papers
between 2018 and 2026.
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Bibliography
2026
Machine Learning-Based Clinical Decision Support System for Hepatic Fibrosis Risk Prediction in General Practice.
ACM Trans. Comput. Heal., April, 2026
Ordinal evolutionary artificial neural networks for predicting diabetic nephropathy progression.
Appl. Soft Comput., 2026
2025
Federated Learning Towards the Unknown: A Deep Dive Into Diabetic Retinopathy Prediction from Real-World EHR Structured Data on Unseen Diabetic Centers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2025
Type 2 Diabetes Prediction from Multi-center Electronic Health Records in General Practice Using Machine Learning.
Proceedings of the Artificial Intelligence for Biomedical Data, 2025
2023
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets.
Comput. Biol. Medicine, September, 2023
2021
Machine Learning approaches in Predictive Medicine using Electronic Health Records data. (Approches d'apprentissage automatique en médecine prédictive à l'aide des données des dossiers médicaux électroniques).
PhD thesis, 2021
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution.
IEEE J. Biomed. Health Informatics, 2021
A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy.
IEEE Access, 2021
2020
Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine.
IEEE J. Biomed. Health Informatics, 2020
A sequential deep learning application for recognising human activities in smart homes.
Neurocomputing, 2020
Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach.
Artif. Intell. Medicine, 2020
2019
TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records.
Comput. Biol. Medicine, 2019
Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data.
Proceedings of the IEEE 23rd International Symposium on Consumer Technologies, 2019
2018
Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction.
Proceedings of the 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2018
Proceedings of the 1st International Workshop on Real-Time compliant Multi-Agent Systems co-located with the Federated Artificial Intelligence Meeting, 2018
Cyber Physical Systems for Industry 4.0: Towards Real Time Virtual Reality in Smart Manufacturing.
Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2018