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Intelligent Agent to Identify Rheumatic Diseases

Intelligent Agent to Identify Rheumatic Diseases

Gustavo Julio Puente Salcido, Eduardo César Contreras Delgado
Copyright: © 2013 |Pages: 23
ISBN13: 9781466639904|ISBN10: 1466639903|EISBN13: 9781466639911
DOI: 10.4018/978-1-4666-3990-4.ch023
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MLA

Salcido, Gustavo Julio Puente, and Eduardo César Contreras Delgado. "Intelligent Agent to Identify Rheumatic Diseases." Handbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care, edited by Maria Manuela Cruz-Cunha, et al., IGI Global, 2013, pp. 451-473. https://doi.org/10.4018/978-1-4666-3990-4.ch023

APA

Salcido, G. J. & Delgado, E. C. (2013). Intelligent Agent to Identify Rheumatic Diseases. In M. Cruz-Cunha, I. Miranda, & P. Gonçalves (Eds.), Handbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care (pp. 451-473). IGI Global. https://doi.org/10.4018/978-1-4666-3990-4.ch023

Chicago

Salcido, Gustavo Julio Puente, and Eduardo César Contreras Delgado. "Intelligent Agent to Identify Rheumatic Diseases." In Handbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care, edited by Maria Manuela Cruz-Cunha, Isabel Maria Miranda, and Patricia Gonçalves, 451-473. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-3990-4.ch023

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Abstract

Most of Mexican populations, even medical population, do not have enough information on rheumatic diseases to allow them to understand the importance of the socioeconomic and psychological impact of these disorders. In order to reduce this problem, a didactic tool is provided to general practitioners that enables them to identify medical disorders in the area of rheumatology. Didactic software is based on the application of an intelligent agent based on goals that contains enough information to identify seven of the most common inflammatory rheumatic diseases and fourteen non-inflammatory. The purpose of this tool is that a general practitioner can get an early diagnosis in a rheumatic patient and subsequently send that patient to a rheumatologist in order to prevent damage. The presented prototype can be useful for professors and students of the computation area to solve similar problems.

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