Andrea Fidecicchi
Orcid: 0000-0002-7980-5551
According to our database1,
Andrea Fidecicchi authored at least 11 papers
between 2023 and 2025.
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Bibliography
2025
Comparison of machine learning techniques to evaluate performance in predicting hospital stay.
Proceedings of the 2025 9th International Conference on Medical and Health Informatics, 2025
Machine learning methods comparisons to predict LOS performance for Patients undertaking Knee replacement Surgery.
Proceedings of the 2025 9th International Conference on Medical and Health Informatics, 2025
Machine learning techniques are compared to evaluate their prediction performance for the length of stay (LOS) in patients undergoing appendicitis surgery.
Proceedings of the 2025 9th International Conference on Medical and Health Informatics, 2025
Proceedings of the 2025 9th International Conference on Medical and Health Informatics, 2025
2024
Empowering Patient Risk Management Strategies: Validation the AHRQ Elixhauser Mortality Index on Italian Hospital Administrative Dataset.
Proceedings of the 2024 8th International Conference on Medical and Health Informatics, 2024
Precision and Management of Surgery Time Prediction: Comparative Analysis of ICD Codes, DRGs, and CCS Classifications in a Hospital Setting.
Proceedings of the 8th International Conference on Biomedical Engineering and Applications, 2024
Proceedings of the 8th International Conference on Biomedical Engineering and Applications, 2024
Machine Learning Models for Predicting "Left Without Being Seen" in Distributed Emergency Departments: A Comparative Study in Naples, Italy.
Proceedings of the 8th International Conference on Biomedical Engineering and Applications, 2024
2023
Predicting Post-Operative Length of Stay after Robotic Urologic Surgery from Hospital Stay Characteristics: A Monocentric Study.
Proceedings of the 7th International Conference on Medical and Health Informatics, 2023
Predicting Length of Stay in Colorectal Cancer Patients: A Monocentric Study in Italy.
Proceedings of the 7th International Conference on Medical and Health Informatics, 2023
Predicting In-Hospital Mortality During the COVID-19 Pandemic in Patients with Heart Failure: A Single-Center Exploratory Study.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023