"Virtual clinic": Design and implementation of an expert system for ophthalmological diagnoses

Jaime Alberto Echeverri Arias; Yohana Suarez; Ian Castillo

doi:10.23919/CISTI.2017.7975769

"Virtual clinic": Design and implementation of an expert system for ophthalmological diagnoses

Jaime Alberto Echeverri Arias, Yohana Suarez, Ian Castillo

Grupo de Investigación ARKADIUS

Resultado de la investigación: Contribución a una conferencia › Paper

Resumen

© 2017 AISTI. The development of expert Systems to support to different areas in the medical field has important implications; it is possible to emphasize the possibility of having timely and effective treatments. Early detection of an anomaly and an effective control of this can prevent the progression of a disease. In this work, shows the progress in the design and implementation of an expert system for ophthalmologic diagnoses supported in elements of fuzzy logic to assist in the evaluation of symptoms related to the sense of vision.

Idioma original	Inglés estadounidense
Páginas	48-56
Número de páginas	9
DOI	https://doi.org/10.23919/CISTI.2017.7975769
Estado	Publicada - 11 jul 2017
Evento	Iberian Conference on Information Systems and Technologies, CISTI - Duración: 11 jul 2017 → …

Conferencia

Conferencia	Iberian Conference on Information Systems and Technologies, CISTI
Período	11/07/17 → …

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10.23919/CISTI.2017.7975769

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85027044904&origin=inward

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title = "{"}Virtual clinic{"}: Design and implementation of an expert system for ophthalmological diagnoses",

abstract = "{\textcopyright} 2017 AISTI. The development of expert Systems to support to different areas in the medical field has important implications; it is possible to emphasize the possibility of having timely and effective treatments. Early detection of an anomaly and an effective control of this can prevent the progression of a disease. In this work, shows the progress in the design and implementation of an expert system for ophthalmologic diagnoses supported in elements of fuzzy logic to assist in the evaluation of symptoms related to the sense of vision.",

author = "Arias, {Jaime Alberto Echeverri} and Yohana Suarez and Ian Castillo",

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doi = "10.23919/CISTI.2017.7975769",

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AU - Castillo, Ian

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AB - © 2017 AISTI. The development of expert Systems to support to different areas in the medical field has important implications; it is possible to emphasize the possibility of having timely and effective treatments. Early detection of an anomaly and an effective control of this can prevent the progression of a disease. In this work, shows the progress in the design and implementation of an expert system for ophthalmologic diagnoses supported in elements of fuzzy logic to assist in the evaluation of symptoms related to the sense of vision.

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