Giuseppe Pozzi

AIIM Journal 2022 Journal Article

Artificial intelligence (AI) in breast cancer care - leveraging multidisciplinary skills to improve care

• Maria Joao Cardoso
• Nehmat Houssami
• Giuseppe Pozzi
• Brigitte Séroussi

AIIM Journal 2020 Journal Article

WITHDRAWN: Artificial Intelligence (AI) in Breast Cancer Care - Leveraging multidisciplinary skills to improve care

• Maria Joao Cardoso
• Carlos Ferrera
• Alberto San Román
• Nehmat Houssami
• Giuseppe Pozzi
• Brigitte Séroussi

This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https: //www. elsevier. com/about/policies/article-withdrawal

JBHI Journal 2019 Journal Article

Guest Editorial on the Special Issue on Informatics on Biomedical Data Learning, Reasoning, and Representation

• Tamer Kahveci
• Giuseppe Pozzi
• Amarda Shehu
• May Dongmei Wang

The papers in this special section was presented at the 8th ACM-BCB Conference that was held in August 2017 in Boston, MA.

TAAS Journal 2012 Journal Article

Conceptual modeling of flexible temporal workflows

• Carlo Combi
• Matteo Gozzi
• Roberto Posenato
• Giuseppe Pozzi

Workflow technology has emerged as one of the leading technologies in modeling, redesigning, and executing business processes. The management of temporal aspects in the definition of a workflow process has been considered only recently in the literature. Currently available Workflow Management Systems ( WfMS ) and research prototypes offer a very limited support for the definition, detection, and management of temporal constraints over business processes. In this article, we propose a new advanced workflow conceptual model for expressing time constraints in business processes and we present a general technique to check different levels of temporal consistency for workflow schemata at process design time: since a time constraint can be satisfied in different ways, we propose a classification of temporal workflows according to the way time constraints are satisfied. Such classification can be used to successfully manage flexible workflows at runtime.

TIME Conference 2007 Conference Paper

Conceptual Modeling of Temporal Clinical Workflows

• Carlo Combi
• Matteo Gozzi
• José M. Juárez
• Barbara Oliboni
• Giuseppe Pozzi

The diffusion of clinical guidelines to describe the proper way to deal with patients' situations is spreading out and opens new issues in the context of modeling and managing (temporal) information about medical activities. Guidelines can be seen as processes describing the sequence of activities to be executed, and thus approaches proposed in the business context can be used to model them. In this paper, we propose a general conceptual workflow model, considering both activities and their temporal properties, and focus on the representation of clinical guidelines by the proposed model.

TIME Conference 2006 Conference Paper

Task Scheduling for a TemporalWorkflow Management System

• Carlo Combi
• Giuseppe Pozzi

A workflow management system (WfMS) supports the coordinated execution of simple activities (tasks), assigning them to human or automatic executors (agents), to achieve the goal defined for a business process. The workflow scheduler performs task assignment policies: temporal aspects, such as availability time and skills of agents, deadlines for task completion, constraints over timestamps for task activation, periodic constraints cannot be neglected. By this paper we propose a temporal workflow scheduler which pervasively considers all the temporalities affecting task assignment policies

AIIM Journal 2006 Journal Article

Temporal representation and reasoning in medicine

• Carlo Combi
• Giuseppe Pozzi

AIIM Journal 2006 Journal Article

Temporal representation and reasoning in medicine: Research directions and challenges

• Klaus-Peter Adlassnig
• Carlo Combi
• Amar K. Das
• Elpida T. Keravnou
• Giuseppe Pozzi

Objective The main aim of this paper is to propose and discuss promising directions of research in the field of temporal representation and reasoning in medicine, taking into account the recent scientific literature and challenging issues of current interest as viewed from the different research perspectives of the authors of the paper. Background Temporal representation and reasoning in medicine is a well-known field of research in the medical as well as computer science community. It encompasses several topics, such as summarizing data from temporal clinical databases, reasoning on temporal clinical data for therapeutic assessments, and modeling uncertainty in clinical knowledge and data. It is also related to several medical tasks, such as monitoring intensive care patients, providing treatments for chronic patients, as well as planning and scheduling clinical routine activities within complex healthcare organizations. Methodology The authors jointly identified significant research areas based on their importance as for temporal representation and reasoning issues; the subjects were considered to be promising topics of future activity. Every subject was addressed in detail by one or two authors and then discussed with the entire team to achieve a consensus about future fields of research. Results We identified and focused on four research areas, namely (i) fuzzy logic, time, and medicine, (ii) temporal reasoning and data mining, (iii) health information systems, business processes, and time, and (iv) temporal clinical databases. For every area, we first highlighted a few basic notions that would permit any reader—including those who are unfamiliar with the topic—to understand the main goals. We then discuss interesting and promising directions of research, taking into account the recent literature and underlining the yet unresolved medical/clinical issues that deserve further scientific investigation. The considered research areas are by no means disjointed, because they share common theoretical and methodological features. Moreover, subjects of imminent interest in medicine are represented in many of the fields considered. Conclusions We propose and discuss promising subjects of future research that deserve investigation to develop software systems that will properly manage the multifaceted temporal aspects of information and knowledge encountered by physicians during their clinical work. As the subjects of research have resulted from merging the different perspectives of the authors involved in this study, we hope the paper will succeed in stimulating discussion and multidisciplinary work in the described fields of research.

TIME Conference 1996 Conference Paper

Managing Time Granularity of Narrative Clinical Information: The Temporal Data Model TIME-NESIS

• Carlo Combi
• Francesco Pinciroli
• Giuseppe Pozzi

In the database field, the need of time management at different levels of granularity has been on for some years. It has been recently emphasized. Such a need is widespread when we have to manage medical clinical information. The temporal dimension is normally given at different granularities. In database systems based on the calendar time, granularity refers to uncertainty in specifying a temporal dimension as well as to use of different time-units. Thus, we need to set up modelling concepts and managing tools by which to establish temporal relationships between temporal clinical data. To manage the temporal dimension of data given at various and mixed levels of granularity, we defined the temporal data model TIME-NESIS (TIME in anamNESIS). The model provides temporal dimension to the data by using intervals that can be specified by different granularities. The model supports a three-valued logic, where True, False and Undefined are the truth values.