Knowledge representation for diagnosis of care problems through an expert system: Model of the auto-care deficit situations

Jimenez, M.; Santamaría, José M.; Barchino, Roberto; Laita, Laura; Laita, Luis M.; González, León A.; Asenjo, Angel

doi:10.1016/j.eswa.2007.05.039

Cited by 29 publications

(14 citation statements)

References 9 publications

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“…Data mining approach are commonly used to extract potential knowledge from large amounts of data through knowledge discovery process. The design of an expert system for the diagnosis of health problem is presented [7]. The expert system knowledge base is composed of a set of production rules written in classic bi-valued logic and by a set of potential facts.…”

Section: Expert Systems In Healthcarementioning

confidence: 99%

Healthcare Expert System based on the Group Cooperation Model

Zhang

Tan

Jiang

et al. 2007

The 2007 International Conference on Intelligent Pervasive Computing (IPC 2007)

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Expert systems for healthcare services are widely studied where accuracy of diagnosis and efficiency of the system for various services are examined. Also, recent researches include decision support services, expert medical services and autonomous management, which are based on multi-agent systems. The cooperation of the agents is crucial in analyzing, and managing the data of patient to detect abnormal patterns in order to provide an advance treatment. This research shows that the healthcare expert system (HES) is implemented on the group cooperation model. Communications through the components are designed based on multi-agent. The proposed agent managers effectively coordinate the processing of client requests. Replica managers provide quality of service for clients by replicating objects. An adaptive scheme using round robin and fuzzy least load algorithms is managed by load balancing service.

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Section: Expert Systems In Healthcarementioning

confidence: 99%

Healthcare Expert System based on the Group Cooperation Model

Zhang

Tan

Jiang

et al. 2007

The 2007 International Conference on Intelligent Pervasive Computing (IPC 2007)

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“…Solving both algebraic problems requires the use of reduced Groebner bases. Some applications based on this model include a method for verifying inconsistencies in medical domains [12], [21], as well as various expert systems [22], [24], [30], [34] implemented in the mathematical software, CoCoA. One of these expert systems [34] is developed to handle uncertainty by means of a three-valued propositional logic.…”

Section: Introductionmentioning

confidence: 99%

An algebraic method for managing reliability in propositional logics

Hernando

Roanes–Lozano

Montero

2010

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering

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The aim of this paper is to expound an original algebraic model for managing information with different degrees of unreliability. This model is conceived as an extension of classical propositional logics in which each propositional formula is associated with an unreliability value, and results in an approach quite different from that of probabilistic logics. In our model, the logical notions of tautological consequence and consistency of a set of formulae are reformulated on behalf of the foreseen unreliability values. The core of the paper is related to the discovery of a remarkable relation between these unreliability values associated to tautological consequence and the calculation of the reduced Groebner basis of a polynomial ideal. In this way, our method for assigning these unreliability values to information and reasoning turns out to have a straightforward translation into algebraic terms.

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“…The models [13,14] were concerned with checking the forward reasoning consistency of KBSs based on Lukasiewicz's three-valued logic. In [24], an algebraic structure for p-valued propositional logics ( p prime) was given, under the assumption that, as proven in [2,7,15,24], logical deduction can be transferred into terms of an ideal membership problem, which in turn can be decided using Groebner Bases, and different expert systems (some of them based on multivalued logics) have been developed from this model [9,[16][17][18]26].…”

Section: Introductionmentioning

confidence: 99%

A Polynomial Model for Logics with a Prime Power Number of Truth Values

2010

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This paper is concerned with a polynomial model (residue class ring) for a given q-valued propositional logic (where q is a power of a prime integer). This model allows to transfer logic problems into algebraic terms, resulting in an immediate computational approach to Knowledge Based Systems based on multi-valued logics. By means of this new approach, we have extended an already existent algebraic model to logics with a prime power number of truth values, while also getting more straightforward proofs and a more direct enunciation of the central theorem of this model.

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Knowledge representation for diagnosis of care problems through an expert system: Model of the auto-care deficit situations

Cited by 29 publications

References 9 publications

Healthcare Expert System based on the Group Cooperation Model

Healthcare Expert System based on the Group Cooperation Model

An algebraic method for managing reliability in propositional logics

A Polynomial Model for Logics with a Prime Power Number of Truth Values

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