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Disambiguation of "Gatta, Roberto"

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Generating and Comparing Knowledge Graphs of Medical Processes Using pMineR.

, , , , , , , , , , , , and . K-CAP, page 36:1-36:4. ACM, (2017)

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Wagner Farid Gattaz

Gilberto Gattaz

Roberto Klimmek

Roberto Ohrt

Roberto Cattaneo

 

Other publications of authors with the same name

Towards a modular decision support system for radiomics: A case study on rectal cancer., , , , , , , , , and 2 other author(s). Artif. Intell. Medicine, (2019)An Interactive Dashboard for Patient Monitoring and Management: A Support Tool to the Continuity of Care Centre., , , , , , , , , and 5 other author(s). AIME, volume 13897 of Lecture Notes in Computer Science, page 368-372. Springer, (2023)On the Comparison of Markov Chains-based Models in Process Mining for Healthcare: A Case Study., , , , , and . FLAIRS, AAAI Press, (2023)pMineR: An Innovative R Library for Performing Process Mining in Medicine., , , , , , , , , and 3 other author(s). AIME, volume 10259 of Lecture Notes in Computer Science, page 351-355. Springer, (2017)Expectations from a Process Mining Dashboard in Operating Rooms with Analytic Hierarchy Process., , , , and . Business Process Management Workshops, volume 342 of Lecture Notes in Business Information Processing, page 151-162. Springer, (2018)Moddicom: a complete and easily accessible library for prognostic evaluations relying on image features., , , , , , , and . EMBC, page 771-774. IEEE, (2015)Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis., , , , , , , and . BMC Medical Informatics Decis. Mak., 22-S (6): 346 (November 2022)A Framework for Event Log Generation and Knowledge Representation for Process Mining in Healthcare., , , , , , and . ICTAI, page 647-654. IEEE, (2018)Error-Correcting Methodology for Evaluating Compliance to Clinical Guidelines: A Case Study on Rectal Cancer., , , , , , , , , and . ICPM Workshops, volume 503 of Lecture Notes in Business Information Processing, page 309-320. Springer, (2023)Exploiting Machine Learning for Predicting Nodal Status in Prostate Cancer Patients., , , , , , and . AIAI, volume 412 of IFIP Advances in Information and Communication Technology, page 61-70. Springer, (2013)