Analyzing Differences in Operational Disease Definitions Using Ontological Modeling

In medicine, there are many diseases which cannot be precisely characterized but are considered as natural kinds. In the communication between health care professionals, this is generally not problematic. In biomedical research, however, crisp definitions are required to unambiguously distinguish patients with and without the disease. In practice, this results in different operational definitions being in use for a single disease. This paper presents an approach to compare different operational definitions of a single disease using ontological modeling. The approach is illustrated with a case-study in the area of severe sepsis

Design of a goal ontology for medical decision-support

Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2005.Includes bibliographical references (leaves 34-36).Objectives: There are several ongoing efforts aimed at developing formal models of medical knowledge and reasoning to design decision-support systems. Until now, these efforts have focused primarily on representing content of clinical guidelines and their logical structure. The present study aims to develop a computable representation of health-care providers' intentions to be used as part of a framework for implementing clinical decision-support systems. Our goal is to create an ontology that supports retrieval of plans based on the intentions or goals of the clinician. Methods: We developed an ontological representation of medical goals, plans, clinical scenarios and other relevant entities in medical decision-making. We used the resulting ontology along with an external ontology inference engine to simulate selection of clinical recommendations based on goals. The ontology instances used in the simulation were modeled from two clinical guidelines. Testing the design: Thirty-two clinical recommendations were encoded in the experimental model. Nine test cases were created to verify the ability of the model to retrieve the plans. For all nine cases, plans were successfully retrieved. Conclusion: The ontological design we developed supported effective reasoning over a medical knowledge base.(cont.) The immediate extension of this approach to be fully developed in medical applications may be partially limited by the lack of available editing tools. Many efforts in this area are currently aiming to the development of needed technologies.by Davide Zacacagnini [i.e. Zaccagnini].S.M

Proceedings ICPW'07: 2nd International Conference on the Pragmatic Web, 22-23 Oct. 2007, Tilburg: NL

Proceedings ICPW'07: 2nd International Conference on the Pragmatic Web, 22-23 Oct. 2007, Tilburg: N

Situation Representation and Awareness for Rescue Operations

International audienceDuring rescue operations, being aware of the situation is very critical for rescuers and decision-makers to reduce the impacts. This work aims to support situation awareness amongst actors participating in rescue operations by adopting an ontology-based approach. An application ontology is proposed based on existing related ontologies and operational expertise collection. It will help to ensure common situation representation and understanding between different actors. After that, a knowledge-based system will be developed and integrated in actors' environment to support decision-making. Our preliminary results are shown in this paper

Developing a Philosophical Profile of the Individual for Complex Problem-Solving Through Agent-Based Modeling

Research that focuses on the emotional, mental, behavioral and cognitive capabilities of individuals has been abundant within disciplines such as psychology, sociology, and anthropology, among others. The main argument made in this dissertation, however, is that a different perspective is necessary in order to gain insight about individuals when facing the complex problems that are presented within engineering and management disciplines. This is done by developing the Philosophical Profile of the Individual (PPI) that uses epistemology, ontology and teleology as underlying dimensions of philosophical predispositions. The epistemology dimension considers whether an individual is an Empiricist or a Rationalist, the ontology dimension consists of the Substantive and Process predispositions, and the teleology dimension represents whether the individual is goal-oriented or not. By using these three dimensions, researchers may understand how an individual chooses to acquire knowledge about a certain problem, how an individual defines a problem and how the purpose towards a certain future is obtained

Systemic modeling in telemedicine

The complexity of the health care system is a particularly notable framework for the development of telehealth and telemedicine. It is therefore necessary to try to answer the relevant question that can be summarized broadly as ‘‘How to manage this complex system?’’ We will discuss here the relations between system engineering and telehealth, or more specifically how systems engineering can be applied in the design of a telehealth system, and what benefits it can bring in its development. This naturally leads us to think of methods you can use to understand the difficulty of decision-making and the conceptual perspectives. It has been an accepted fact that this first requires modeling, i.e. to construct a representation of the perceived reality through symbols and relevant rules, then to verify or validate in absolute terms this representation, model, so as to improve or be able to use it. The importance of this modeling and the rigorous analysis of the requirements of telemedicine systems are even more apparent since the recognition of the generic representation declined in two meta-models: the first covers the activities of teleconsultation, teleexpertise and teleassistance; the second concerns telemonitoring

A framework for analyzing changes in health care lexicons and nomenclatures

Ontologies play a crucial role in current web-based biomedical applications for capturing contextual knowledge in the domain of life sciences. Many of the so-called bio-ontologies and controlled vocabularies are known to be seriously defective from both terminological and ontological perspectives, and do not sufficiently comply with the standards to be considered formai ontologies. Therefore, they are continuously evolving in order to fix the problems and provide valid knowledge. Moreover, many problems in ontology evolution often originate from incomplete knowledge about the given domain. As our knowledge improves, the related definitions in the ontologies will be altered. This problem is inadequately addressed by available tools and algorithms, mostly due to the lack of suitable knowledge representation formalisms to deal with temporal abstract notations, and the overreliance on human factors. Also most of the current approaches have been focused on changes within the internal structure of ontologies, and interactions with other existing ontologies have been widely neglected. In this research, alter revealing and classifying some of the common alterations in a number of popular biomedical ontologies, we present a novel agent-based framework, RLR (Represent, Legitimate, and Reproduce), to semi-automatically manage the evolution of bio-ontologies, with emphasis on the FungalWeb Ontology, with minimal human intervention. RLR assists and guides ontology engineers through the change management process in general, and aids in tracking and representing the changes, particularly through the use of category theory. Category theory has been used as a mathematical vehicle for modeling changes in ontologies and representing agents' interactions, independent of any specific choice of ontology language or particular implementation. We have also employed rule-based hierarchical graph transformation techniques to propose a more specific semantics for analyzing ontological changes and transformations between different versions of an ontology, as well as tracking the effects of a change in different levels of abstractions. Thus, the RLR framework enables one to manage changes in ontologies, not as standalone artifacts in isolation, but in contact with other ontologies in an openly distributed semantic web environment. The emphasis upon the generality and abstractness makes RLR more feasible in the multi-disciplinary domain of biomedical Ontology change management

Providing Theoretical Foundations: Developing an Integrated Set of Guidelines for Theory Adaptation

Developing and advancing theory in the information systems (IS) discipline requires scholars to use and contribute to theory. While few IS scholars create new theories, many borrow and adapt theories from other disciplines to study a variety of phenomena in the realm of IS. Over time, this practice has raised concerns as to the appropriateness and quality of theories adapted in the discipline. In particular, this practice causes issues when one considers conflicting results from many studies that claim to leverage the same theoretical foundation. We examine the issues surrounding theory adaptation in IS and provide a set of integrated theory adaptation guidelines to help scholars successfully and reliably adapt theory. We illustrate how one might use our guidelines via using Protection Motivation Theory in an organizational information security setting