Luca Romeo
Macerata, 62100, Italy
Last Updated: 09/26/2026
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Found 29 publications
A machine learning algorithm for the prediction of complications incorporated in electronic medical records improves type 2 diabetes care.
Journal: Diabetes research and clinical practice
Published: June 18, 2025
Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers.
Journal: IEEE transactions on neural networks and learning systems
Published: February 13, 2024
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets.
Journal: Computers in biology and medicine
Published: April 27, 2023
Visuo-motor interference is modulated by task interactivity: A kinematic study.
Journal: Psychonomic bulletin & review
Published: April 12, 2023
Algor-ethics: charting the ethical path for AI in critical care.
Journal: Journal of clinical monitoring and computing
Published: March 18, 2023
Prediction of complications of type 2 Diabetes: A Machine learning approach.
Journal: Diabetes research and clinical practice
Published: May 26, 2022
Uncovering the potential of innovation ecosystems in the healthcare sector after the COVID-19 crisis.
Journal: Health policy (Amsterdam, Netherlands)
Published: January 05, 2022
Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients.
Journal: Journal of intensive medicine
Published: June 25, 2021
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution.
Journal: IEEE journal of biomedical and health informatics
Published: April 20, 2021
A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign.
Journal: Pattern recognition
Published: March 31, 2021
Identifying the signature of prospective motor control in children with autism.
Journal: Scientific reports
Published: December 08, 2020
Last Updated: 09/26/2026