Knowledge Representation and Search Methods for Decision Support Systems

1990 ◽  
pp. 247-258 ◽  
Author(s):  
Agoston E. Eiben ◽  
Kees M. van Hee
Keyword(s):  
Decision Support ◽  
Knowledge Representation ◽  
Decision Support Systems ◽  
Support Systems ◽  
Search Methods

scholarly journals Knowledge Representation Methods for Dairy Decision Support Systems

1994 ◽  
Vol 77 (12) ◽  
pp. 3704-3715 ◽  
Author(s):  
H. Hogeveen ◽  
M.A. Varner ◽  
D.S. Brée ◽  
D.E. Dill ◽  
E.N. Noordhuizen-Staseen ◽  
...  
Keyword(s):  
Decision Support ◽  
Knowledge Representation ◽  
Decision Support Systems ◽  
Support Systems

Section 5: Decision Support, Knowledge Representation and Management: Decision Support, Knowledge Representation and Management in Medicine

2006 ◽  
Vol 15 (01) ◽  
pp. 72-80
Author(s):  
S. Tu ◽  
M. Peleg
Keyword(s):  
Decision Support ◽  
Knowledge Representation ◽  
Decision Support Systems ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Organizational Dynamics ◽  
Management Decision ◽  
Healthcare Organizations ◽  
The Past

SummaryClinical decision-support systems (CDSSs) are being recognized as important tools for improving quality of care. In this paper, we review the literature to find trends in CDSSs that were developed over the last few decades and give some indication of future directions in developing successful, usable clinical decisionsupport systems.We searched PubMed for papers that were published during the past five years with the words Decision Support Systems appearing in the title and used our own knowledge of the field for earlier work.The goals of developers of modern CDSSs are to develop systems that deliver needed information and could be integrated with the healthcare’s organizational dynamics. Such CDSSs form part of knowledge-management activities that healthcare organizations employ in order to excel. During the past few decades, we have witnessed a gradual maturation of knowledge representation formalisms and the needed infrastructure for developing integrated CDSSs, including electronic health record systems (EHR), standard terminologies, and messaging standards for exchange of clinical data. The demand for CDSSs that are effective and that will evolve as circumstances change gave rise to methodologies that guide developers on the construction and evaluation of CDSSs.Although there exist many approaches for representing, managing and delivering clinical knowledge, the design and implementation of good and useful systems that will last and evolve are still active areas of research. The gradual maturation of EHR and infrastructure standards should make it possible for CDSSs implementers to make major contributions to the delivery of healthcare.

Decision Support Systems from the Standpoint of Knowledge Representation

1995 ◽  
Vol 34 (01/02) ◽  
pp. 202-208 ◽  
Author(s):  
M. Fieschi ◽  
G. Chatellier ◽  
P. Degoulet
Keyword(s):  
Decision Support ◽  
Knowledge Representation ◽  
Decision Support Systems ◽  
Support Systems ◽  
Medical Decisions ◽  
Knowledge Representations ◽  
Cooperative Agents ◽  
Level Model ◽  
Points Of View ◽  
Selection Of

Abstract:Relationships between decision-support systems and knowledge representation are examined from three different points of view: the characteristics of medical decisions that might influence the selection of appropriate knowledge representations, – the extent to which different knowledge representations can support efficient medical decisions and, – the validation of knowledge hypotheses through the practice of decision support systems. A three-level model of knowledge representation is proposed that includes a contextual, a conceptual and a computational level. Taking into consideration the context that leads to the selection of a given representation raises the issue of multiexpertise and multirepresentation modeling. Implementation of decision support systems as sets of cooperative agents and integration in the health information systems are considered.

scholarly journals Personalization and Patient Involvement in Decision Support Systems: Current Trends

2015 ◽  
Vol 24 (01) ◽  
pp. 106-118 ◽  
Author(s):  
L. Sacchi ◽  
G. Lanzola ◽  
N. Viani ◽  
S. Quaglini
Keyword(s):  
Decision Support ◽  
Knowledge Representation ◽  
Decision Support Systems ◽  
Information And Communication Technologies ◽  
Support Systems ◽  
Patient Centered ◽  
Personalized Care ◽  
Standard Data ◽  
Centered Care ◽  
Efficient Information

Summary Objectives: This survey aims at highlighting the latest trends (2012-2014) on the development, use, and evaluation of Information and Communication Technologies (ICT) based decision support systems (DSSs) in medicine, with a particular focus on patient-centered and personalized care. Methods: We considered papers published on scientific journals, by querying PubMed and Web of ScienceTM. Included studies focused on the implementation or evaluation of ICT-based tools used in clinical practice. A separate search was performed on computerized physician order entry systems (CPOEs), since they are increasingly embedding patient-tailored decision support. Results: We found 73 papers on DSSs (53 on specific ICT tools) and 72 papers on CPOEs. Although decision support through the delivery of recommendations is frequent (28/53 papers), our review highlighted also DSSs only based on efficient information presentation (25/53). Patient participation in making decisions is still limited (9/53), and mostly focused on risk communication. The most represented medical area is cancer (12%). Policy makers are beginning to be included among stakeholders (6/73), but integration with hospital information systems is still low. Concerning knowledge representation/management issues, we identified a trend towards building inference engines on top of standard data models. Most of the tools (57%) underwent a formal assessment study, even if half of them aimed at evaluating usability and not effectiveness. Conclusions: Overall, we have noticed interesting evolutions of medical DSSs to improve communication with the patient, consider the economic and organizational impact, and use standard models for knowledge representation. However, systems focusing on patient-centered care still do not seem to be available at large.

scholarly journals Decision Support, Knowledge Representation and Management: A Balancing Act between Clinical Use and Implementation of Sophisticated Reasoning Techniques?

2007 ◽  
Vol 16 (01) ◽  
pp. 87-89
Author(s):  
B. Brigl ◽  
Keyword(s):  
Decision Support ◽  
Knowledge Representation ◽  
Decision Support Systems ◽  
Support Systems ◽  
Selection Process ◽  
Clinical Use ◽  
Clinical Environments ◽  
Complex Decision ◽  
The One ◽  
Selection Of

SummaryTo position the papers selected for the IMIA Yearbook 2007 in the context of current research in decision support, knowledge representation and management.Synopsis of the articles selected for the IMIA Yearbook 2007.In the Yearbook 2007 the best paper selection of the section Decision support, Knowledge management in Representation’ shows, that the evaluation of the influence of decision support on medical behavior and outcome is as important as research on new reasoning technologies and methods.The best paper selection process shows on the one hand that there is still a deep gap between rather small decision support solutions successfully evaluated in clinical environments and more complex decision support systems using sophisticated reasoning techniques, but lack of clinical use. On the other hand the implementation of decision support systems today benefits from research done in the last decades.

scholarly journals APPLICATION OF THE THEORY OF THE SETS TO REPRESENT THE LINGUISTIC OBJECTS IN ONTOLOGY

2020 ◽  
Vol 3 (156) ◽  
pp. 94-98
Author(s):  
M. Kukhar
Keyword(s):  
Mathematical Modeling ◽  
Decision Support ◽  
Knowledge Representation ◽  
Mathematical Models ◽  
Decision Support Systems ◽  
Set Theory ◽  
Corpus Linguistics ◽  
Support Systems ◽  
Declarative Knowledge ◽  
Subject Field

World experience shows that intelligent information systems for decision support are an integral part of modern society functioning. The basis of many tasks that lies in the development of decision support systems is the presentation of knowledge of a particular subject field. Each decision-support system, depending on the application field, has its own characteristics that characterize the main objectives of this subject area, among which, for example, the presentation of knowledge of multi-level administration systems for decision support purposes. In modern conditions, mathematical modeling is the most effective for the formal representation of knowledge in decision support systems which can be used to represent declarative knowledge of land relations. Therefore, urgent scientific practical problem is relevant now that lies in the representing contradictory knowledge in multilevel administration systems. The scientific and practical task envisages the transformation of declarative knowledge of the subject field in the form of mathematical and informational models using elements of set theory. The task envisages the transformation of declarative knowledge in the form of mathematical models with using set theory. The research used methods: analysis, set theory, mathematical modeling, corpus linguistics, ontological engineering. The results of the study are important for organizing activities in a variety of industries using a large body of documents and laws. The purpose of this work is to develop models of knowledge representation on the use of set theory in ontology. The object of research is the process of decision support in multilevel systems. Subject of research is the mathematical models of knowledge representation in multilevel administration systems using set theory. Keywords: formalization, theory, predicate logic, corpus linguistics, ontology, set theory, model.

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