Roberto Gatta

Orcid: 0000-0002-4716-9925

According to our database1, Roberto Gatta authored at least 24 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Error-Correcting Methodology for Evaluating Compliance to Clinical Guidelines: A Case Study on Rectal Cancer.
Proceedings of the Process Mining Workshops, 2023

On the Comparison of Markov Chains-based Models in Process Mining for Healthcare: A Case Study.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

An Interactive Dashboard for Patient Monitoring and Management: A Support Tool to the Continuity of Care Centre.
Proceedings of the Artificial Intelligence in Medicine, 2023

2022
Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis.
BMC Medical Informatics Decis. Mak., November, 2022

Process mining for healthcare: Characteristics and challenges.
J. Biomed. Informatics, 2022

2020
Recommendations for enhancing the usability and understandability of process mining in healthcare.
Artif. Intell. Medicine, 2020

A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset.
Proceedings of the Process Mining Workshops, 2020

An Empirical Analysis of Predictors for Workload Estimation in Healthcare.
Proceedings of the Computational Science - ICCS 2020, 2020

2019
Towards a modular decision support system for radiomics: A case study on rectal cancer.
Artif. Intell. Medicine, 2019

On the Feasibility of Distributed Process Mining in Healthcare.
Proceedings of the Computational Science - ICCS 2019, 2019

Clinical Guidelines: A Crossroad of Many Research Areas. Challenges and Opportunities in Process Mining for Healthcare.
Proceedings of the Business Process Management Workshops, 2019

2018
A Framework for Event Log Generation and Knowledge Representation for Process Mining in Healthcare.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Expectations from a Process Mining Dashboard in Operating Rooms with Analytic Hierarchy Process.
Proceedings of the Business Process Management Workshops, 2018

2017
Generating and Comparing Knowledge Graphs of Medical Processes Using pMineR.
Proceedings of the Knowledge Capture Conference, 2017

pMineR: An Innovative R Library for Performing Process Mining in Medicine.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
Bridging the Gap between Knowledge Representation and Electronic Health Records.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

RadioBio data: A Moddicom Module to Predict Tumor Control Probability and Normal Tissue Complication Probability in Radiotherapy.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015
On the Efficient Allocation of Diagnostic Activities in Modern Imaging Departments.
Proceedings of the Progress in Artificial Intelligence, 2015

Moddicom: a complete and easily accessible library for prognostic evaluations relying on image features.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Distributed Learning to Protect Privacy in Multi-centric Clinical Studies.
Proceedings of the Artificial Intelligence in Medicine, 2015

2014
The impact of different training sets on medical documents classification.
Proceedings of the 3rd International Workshop on Artificial Intelligence and Assistive Medicine co-located with the 21th European Conference on Artificial Intelligence (ECAI 2014), 2014

Information Retrieval in Medicine - An Extensive Experimental Study.
Proceedings of the HEALTHINF 2014, 2014

2013
Clinical Similarities: An Innovative Approach for Supporting Medical Decisions.
Proceedings of the MEDINFO 2013, 2013

Exploiting Machine Learning for Predicting Nodal Status in Prostate Cancer Patients.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013


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