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631 results on '"Combi, Carlo"'

2. Introducing Agile Controllability in Temporal Business Processes

Author

Posenato, Roberto, Franceschetti, Marco, Combi, Carlo, Eder, Johann, van der Aalst, Wil, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, Guizzardi, Giancarlo, Series Editor, van der Aa, Han, editor, Bork, Dominik, editor, Schmidt, Rainer, editor, and Sturm, Arnon, editor

Published
2024
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6. Supporting the Prediction of AKI Evolution Through Interval-Based Approximate Predictive Functional Dependencies

Author

Amico, Beatrice, Combi, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Juarez, Jose M., editor, Marcos, Mar, editor, Stiglic, Gregor, editor, and Tucker, Allan, editor

Published
2023
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11. From narrative descriptions to MedDRA: automagically encoding adverse drug reactions

Author

Combi, Carlo, Zorzi, Margherita, Pozzani, Gabriele, and Moretti, Ugo

Subjects
Computer Science - Computation and Language
Abstract

The collection of narrative spontaneous reports is an irreplaceable source for the prompt detection of suspected adverse drug reactions (ADRs): qualified domain experts manually revise a huge amount of narrative descriptions and then encode texts according to MedDRA standard terminology. The manual annotation of narrative documents with medical terminology is a subtle and expensive task, since the number of reports is growing up day-by-day. MagiCoder, a Natural Language Processing algorithm, is proposed for the automatic encoding of free-text descriptions into MedDRA terms. MagiCoder procedure is efficient in terms of computational complexity (in particular, it is linear in the size of the narrative input and the terminology). We tested it on a large dataset of about 4500 manually revised reports, by performing an automated comparison between human and MagiCoder revisions. For the current base version of MagiCoder, we measured: on short descriptions, an average recall of $86\%$ and an average precision of $88\%$; on medium-long descriptions (up to 255 characters), an average recall of $64\%$ and an average precision of $63\%$. From a practical point of view, MagiCoder reduces the time required for encoding ADR reports. Pharmacologists have simply to review and validate the MagiCoder terms proposed by the application, instead of choosing the right terms among the 70K low level terms of MedDRA. Such improvement in the efficiency of pharmacologists' work has a relevant impact also on the quality of the subsequent data analysis. We developed MagiCoder for the Italian pharmacovigilance language. However, our proposal is based on a general approach, not depending on the considered language nor the term dictionary., Comment: arXiv admin note: substantial text overlap with arXiv:1506.08052

Published
2016

14. Security Constraints in Temporal Role-Based Access-Controlled Workflows (Extended Version)

Author

Combi, Carlo, Viganó, Luca, and Zavatteri, Matteo

Subjects
Computer Science - Cryptography and Security
Abstract

Workflows and role-based access control models need to be suitably merged, in order to allow users to perform processes in a correct way, according to the given data access policies and the temporal constraints. Given a mapping between workflow models and simple temporal networks with uncertainty, we discuss a mapping between role temporalities and simple temporal networks, and how to connect the two resulting networks to make explicit who can do what, when. If the connected network is still executable, we show how to compute the set of authorized users for each task. Finally, we define security constraints (to prevent users from doing unauthorized actions) and security constraint propagation rules (to propagate security constraints at runtime). We also provide an algorithm to check whether a set of propagation rules is safe, and we extend an existing execution algorithm to take into account these new security aspects.

Published
2015

18. Automagically encoding Adverse Drug Reactions in MedDRA

Author

Combi, Carlo, Lora, Riccardo, Moretti, Ugo, Pagliarini, Marco, and Zorzi, Margherita

Subjects
Computer Science - Computation and Language
Abstract

Pharmacovigilance is the field of science devoted to the collection, analysis and prevention of Adverse Drug Reactions (ADRs). Efficient strategies for the extraction of information about ADRs from free text resources are essential to support the work of experts, employed in the crucial task of detecting and classifying unexpected pathologies possibly related to drug assumptions. Narrative ADR descriptions may be collected in several way, e.g. by monitoring social networks or through the so called spontaneous reporting, the main method pharmacovigilance adopts in order to identify ADRs. The encoding of free-text ADR descriptions according to MedDRA standard terminology is central for report analysis. It is a complex work, which has to be manually implemented by the pharmacovigilance experts. The manual encoding is expensive (in terms of time). Moreover, a problem about the accuracy of the encoding may occur, since the number of reports is growing up day by day. In this paper, we propose MagiCoder, an efficient Natural Language Processing algorithm able to automatically derive MedDRA terminologies from free-text ADR descriptions. MagiCoder is part of VigiWork, a web application for online ADR reporting and analysis. From a practical view-point, MagiCoder radically reduces the revision time of ADR reports: the pharmacologist has simply to revise and validate the automatic solution versus the hard task of choosing solutions in the 70k terms of MedDRA. This improvement of the expert work efficiency has a meaningful impact on the quality of data analysis. Moreover, our procedure is general purpose. We developed MagiCoder for the Italian pharmacovigilance language, but preliminarily analyses show that it is robust to language and dictionary changes., Comment: Submitted, 22 pages, 3 figures, 3 tables

Published
2015

19. Resource Controllability of Workflows Under Conditional Uncertainty

Author

Zavatteri, Matteo, Combi, Carlo, Viganò, Luca, van der Aalst, Wil, Series Editor, Mylopoulos, John, Series Editor, Rosemann, Michael, Series Editor, Shaw, Michael J., Series Editor, Szyperski, Clemens, Series Editor, Di Francescomarino, Chiara, editor, Dijkman, Remco, editor, and Zdun, Uwe, editor

Published
2019
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21. Mining Compact Predictive Pattern Sets Using Classification Model

Author

Mantovani, Matteo, Combi, Carlo, Hauskrecht, Milos, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Riaño, David, editor, Wilk, Szymon, editor, and ten Teije, Annette, editor

Published
2019
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24. A Logical Formalization of Time-Critical Processes with Resources

Author

Combi, Carlo, Sala, Pietro, Zerbato, Francesca, van der Aalst, Wil, Series Editor, Mylopoulos, John, Series Editor, Rosemann, Michael, Series Editor, Shaw, Michael J., Series Editor, Szyperski, Clemens, Series Editor, Weske, Mathias, editor, Montali, Marco, editor, Weber, Ingo, editor, and vom Brocke, Jan, editor

Published
2018
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25. Managing Decision Tasks and Events in Time-Aware Business Process Models

Author

Posenato, Roberto, Zerbato, Francesca, Combi, Carlo, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Weske, Mathias, editor, Montali, Marco, editor, Weber, Ingo, editor, and vom Brocke, Jan, editor

Published
2018
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26. Conceptual Modeling of Processes and Data: Connecting Different Perspectives

Author

Combi, Carlo, Oliboni, Barbara, Weske, Mathias, Zerbato, Francesca, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Trujillo, Juan C., editor, Davis, Karen C., editor, Du, Xiaoyong, editor, Li, Zhanhuai, editor, Ling, Tok Wang, editor, Li, Guoliang, editor, and Lee, Mong Li, editor

Published
2018
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27. The Dynamic Controllability of Conditional STNs with Uncertainty

Author

Hunsberger, Luke, Posenato, Roberto, and Combi, Carlo

Subjects
Computer Science - Artificial Intelligence, Computer Science - Systems and Control
Abstract

Recent attempts to automate business processes and medical-treatment processes have uncovered the need for a formal framework that can accommodate not only temporal constraints, but also observations and actions with uncontrollable durations. To meet this need, this paper defines a Conditional Simple Temporal Network with Uncertainty (CSTNU) that combines the simple temporal constraints from a Simple Temporal Network (STN) with the conditional nodes from a Conditional Simple Temporal Problem (CSTP) and the contingent links from a Simple Temporal Network with Uncertainty (STNU). A notion of dynamic controllability for a CSTNU is defined that generalizes the dynamic consistency of a CTP and the dynamic controllability of an STNU. The paper also presents some sound constraint-propagation rules for dynamic controllability that are expected to form the backbone of a dynamic-controllability-checking algorithm for CSTNUs.

Published
2012

29. A Decision Support Visualization Tool for Infection Management Based on BMPN and DMN

Author

Cánovas-Segura, Bernardo, Zerbato, Francesca, Oliboni, Barbara, Combi, Carlo, Campos, Manuel, Morales, Antonio, Juarez, Jose M., Palacios, Francisco, Marín, Roque, Barbosa, Simone Diniz Junqueira, Series editor, Chen, Phoebe, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Yuan, Junsong, Series editor, Zhou, Lizhu, Series editor, Valencia-García, Rafael, editor, Lagos-Ortiz, Katty, editor, Alcaraz-Mármol, Gema, editor, Del Cioppo, Javier, editor, Vera-Lucio, Néstor, editor, and Bucaram-Leverone, Martha, editor

Published
2017
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30. Weak, Strong and Dynamic Controllability of Access-Controlled Workflows Under Conditional Uncertainty

Author

Zavatteri, Matteo, Combi, Carlo, Posenato, Roberto, Viganò, Luca, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Carmona, Josep, editor, Engels, Gregor, editor, and Kumar, Akhil, editor

Published
2017
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31. A Co-occurrence Based MedDRA Terminology Generation: Some Preliminary Results

Author

Zorzi, Margherita, Combi, Carlo, Pozzani, Gabriele, Arzenton, Elena, Moretti, Ugo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, ten Teije, Annette, editor, Popow, Christian, editor, Holmes, John H., editor, and Sacchi, Lucia, editor

Published
2017
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32. Towards Dynamic Duration Constraints for Therapy and Monitoring Tasks

Author

Combi, Carlo, Oliboni, Barbara, Zerbato, Francesca, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, ten Teije, Annette, editor, Popow, Christian, editor, Holmes, John H., editor, and Sacchi, Lucia, editor

Published
2017
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38. Controlling Time-Awareness in Modularized Processes

Author

Lanz, Andreas, Posenato, Roberto, Combi, Carlo, Reichert, Manfred, van der Aalst, Wil, Series editor, Mylopoulos, John, Series editor, Rosemann, Michael, Series editor, Shaw, Michael J., Series editor, Szyperski, Clemens, Series editor, Schmidt, Rainer, editor, Guédria, Wided, editor, Bider, Ilia, editor, and Guerreiro, Sérgio, editor

Published
2016
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45. Discovering Predictive Dependencies on Multi-Temporal Relations

Author

Beatrice Amico and Carlo Combi and Romeo Rizzi and Pietro Sala, Amico, Beatrice, Combi, Carlo, Rizzi, Romeo, Sala, Pietro, Beatrice Amico and Carlo Combi and Romeo Rizzi and Pietro Sala, Amico, Beatrice, Combi, Carlo, Rizzi, Romeo, and Sala, Pietro

Abstract

In this paper, we propose a methodology for deriving a new kind of approximate temporal functional dependencies, called Approximate Predictive Functional Dependencies (APFDs), based on a three-window framework and on a multi-temporal relational model. Different features are proposed for the Observation Window (OW), where we observe predictive data, for the Waiting Window (WW), and for the Prediction Window (PW), where the predicted event occurs. We then discuss the concept of approximation for such APFDs, introduce two new error measures. We prove that the problem of deriving APFDs is intractable. Moreover, we discuss some preliminary results in deriving APFDs from real clinical data using MIMIC III dataset, related to patients from Intensive Care Units.

Published
2023
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46. Temporal Databases

Author

Combi, Carlo, Keravnou-Papailiou, Elpida, Shahar, Yuval, Combi, Carlo, Keravnou-Papailiou, Elpida, and Shahar, Yuval

Published
2010
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