Matteo Mantovani

According to our database, Matteo Mantovani authored at least 12 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

A Key Performance Indicator to Analyze Swarm Learning Performances with EHR.

Matteo Mantovani, Riccardo Scheda, Carlo Combi, Stefano Diciotti

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

A Migration Framework for Active BPMN Processes in Healthcare.

Matteo Mantovani, Emanuele Chini, Carlo Combi

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

2023

A BPMN-based Framework to Manage ERAS-inspired Pathway for Patients Undergoing Pancreatic Surgery.

Matteo Mantovani, Andrea Caravati, Giuseppe Pozzi, Carlo Combi, Roberto Salvia

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022

FARmAPP: a process-driven solution to prevent and oppose illegal recruitment in agriculture in Northern Italy.

Matteo Mantovani, Carlo Combi

Proceedings of the IEEE International Symposium on Technology and Society, 2022

Acute Kidney Injury Prediction with Gradient Boosting Decision Trees enriched with Temporal Features.

Stela Golovco, Matteo Mantovani, Carlo Combi, John H. Holmes

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

Discovering predictive trend-event patterns in temporal clinical data.

Matteo Mantovani, Beatrice Amico, Carlo Combi

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

2020

Discovering Evolving Temporal Information: Theory and Application to Clinical Databases.

Pietro Sala, Carlo Combi, Matteo Mantovani, Romeo Rizzi

SN Comput. Sci., 2020

2019

Discovering and Analyzing Trend-Event Patterns on Clinical Data.

Matteo Mantovani, Carlo Combi, Matteo Zeggiotti

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Mining Compact Predictive Pattern Sets Using Classification Model.

Matteo Mantovani, Carlo Combi, Milos Hauskrecht

Proceedings of the Artificial Intelligence in Medicine, 2019

2017

Approximate Temporal Functional Dependencies on Clinical Data.

Matteo Mantovani

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Discovering Quantitative Temporal Functional Dependencies on Clinical Data.

Carlo Combi, Matteo Mantovani, Pietro Sala

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

2015

Mining approximate temporal functional dependencies with pure temporal grouping in clinical databases.

Carlo Combi, Matteo Mantovani, Alberto Sabaini, Pietro Sala, Francesco Amaddeo, Ugo Moretti, Giuseppe Pozzi

Comput. Biol. Medicine, 2015