A Symbolic Computation-Based Expert System for Alzheimer’s Disease Diagnosis

Herrero, Begoña; Laita, Luis M.; Roanes–Lozano, Eugenio; Maojo, Víctor; Ledesma, Luis de; Crespo, José; Laita, Laura

doi:10.1007/3-540-45470-5_7

Cited by 3 publications

(4 citation statements)

References 6 publications

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“…A prototype system that has been developed for capturing cases of Alzheimer's disease is the rule-based system described by Herrero and colleagues (Herrero et al 2002). An extensive sample of features is taken into consideration in the system, specifically for Alzheimer's disease.…”

Section: Related Workmentioning

confidence: 99%

Towards personalized decision support in the dementia domain based on clinical practice guidelines

Lindgren

2011

User Model User-Adap Inter

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A set of evidence-based clinical practice guidelines has been synthesized and integrated in the clinical decision support system DMSS-R (Dementia Management and Support System) to support clinical routines and reasoning processes as performed by individual health professionals in daily practice. DMSS-R provides advice, tailored to individual and often exceptional patient cases, to the user while providing guidance to the next step in the assessments and support for hypothesis generation and evaluation throughout the process. This paper describes DMSS-R and the results of a case study in clinical practice where the system was used. The case study included interviews and observations of the clinical investigation process as undertaken in 41 real patient cases with suspected dementia. Two physicians participated, one of whom was considered a novice regarding dementia while the other had a moderate level of skills. Initially, both physicians were unfamiliar with DMSS-R. A group of nurses together with care personnel and relatives were also involved. The most important contribution of DMSS-R at the point of care, apart from the tailored explanatory support related to a patient case, was the educational support it provided. This was partly manifested in a change of routines in the encounter with patients. Aspects regarding the individual health care professional's need for a personalized support system are discussed and put in relation to the team's need for support, and in relation to the diversity of disease manifestations in this group of patients, which reinforces patient-centric assessments.

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Section: Related Workmentioning

confidence: 99%

Towards personalized decision support in the dementia domain based on clinical practice guidelines

Lindgren

2011

User Model User-Adap Inter

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“…The logical and mathematical ideas presented in this section are based on [69][70][71] [72] and the research on the application of Gröbner Bases to automated deduction [73] [74], which was applied to the study of medical appropriateness criteria [75], to the diagnosis of anorexia [76] to Alzheimer's Disease Diagnosis [77] and to other fields (railway interlocking systems) [74] and for diagnosis of care problem [78]. In addition, Pfalzgraf [79] developed a new approach formalized in an abbreviated theory.…”

Section: Inference Enginementioning

confidence: 99%

“…A Rule Based Expert System (RBES) usually has two components: a "Knowledge base" and an "inference engine" [77]. In this article, the knowledge base and the inference engine are, respectively, symbolically expressed and symbolically implemented using the computer algebra language CoCoA [65].…”

Section: Implementation Of the Expert Systemmentioning

confidence: 99%

A Framework to Support the Process of Measurement of Customer’s Satisfaction According to ISO 9001

et al. 2020

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Each time more companies seek to differentiate themselves from their competitors. For this, they resort to company certification through standards such as ISO 9001 or EFQM. The quality norms permit business to improve process management and production and reduce the lack of knowledge. Therefore, the main objective of this research is to propose a framework to support the process of improving customer's satisfaction according to ISO 9001. To achieve the main objective, the methodology of the design science research process has been followed. First, the problems in the evaluation of customer's satisfaction required by ISO 9001 have been analysed. Second, an expert system has been developed to evaluate the process. To end, the system has been validated. The results suggest that this system facilitates continuous improvement in organizations, providing the customer's vision of the organization, and making possible the implementation of actions oriented to retain customers. This study presents important managerial implications. Insights from this research allow us to offer recommendations that can help practitioners and managers interested in the implementation of expert systems, to focus in quality processes that can increase the chances of a successful adoption.

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“…The result of this system is certainty factor with range between -1 to 1. In this paper, author [17] implemented rule-based expert system for Alzheimer's disease diagnosis. System contains two components: a knowledge base which consists of production rules and an inference engine.…”

Section: IVmentioning

confidence: 99%