Construcción de algoritmo de similitud para el sistema del Proyecto FCI, Herramienta para el tratamiento de trastornos fonéticos (Dislalia)
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Fecha
2020
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Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería en Sistemas Computacionales.
Resumen
La Dislalia es un trastorno de lenguaje que se presenta principalmente en los niños de 4 a 12
años que incluso en ciertos casos puede persistir en una edad adulta si no se la trata a tiempo,
las complicaciones que trae este trastorno conlleva consecuencias graves tales como el bullying
y la discriminación, para agilizar los procesos de los especialistas que tratan este tipo de
situación se procedió con la creación de un algoritmo de similitud donde uno de los principales
objetivos es determinar la similitud de comportamiento en los casos para pacientes con Dislalia.
Este algoritmo se desarrolló bajo la metodología de pruebas experimental, investigando
diferentes algoritmos para determinar el que mayor similitud porcentual ante este tipo de casos
bajo una base de datos previamente echa con los diferentes tratamientos estudiados por las
diferentes ramas de la Medicina y la Psicología, poniendo en marcha el desarrollo del mismo
por medio de los lenguajes de Python y Php, el cual se pudo determinar que el algoritmo más
aplicable para este estudio es el mencionado Levenshtein, cuya precisión es óptima a
comparación de los demás algoritmos estudiados, durante las entrevistas y encuestas realizadas
a personas afines a este estudio se logró determinar que el conocimiento a nivel informático en
estas personas es baja ya que no se imaginaban que la tecnóloga podría utilizarse a beneficio
médico, psicológico y social, consiguiendo así la satisfacción del mismo, a pesar de la
desconfianza en el sistema el afectado se sintió satisfecho con los resultados del algoritmo
presentado. Finalmente se presenta las conclusiones, en donde se muestra que el algoritmo de
similitud desarrollado ayuda a los especialistas a obtener una información más óptima y precisa
en la búsqueda de tratamientos ya expuestos a pacientes anteriores los cuales dieron resultados
positivos en un periodo más corto.
Dislalia, Algoritmo, similitud, trastorno, Levenshtein.
Dyslalia is a language disorder that occurs mainly in children 4 to 12 years old that even in certain cases can persist into adulthood if time is not treated, the complications that this disorder brings involve serious consequences such stories as bullying and discrimination, to expedite the processes of specialists dealing with this type of situation was processed with the creation of a similarity algorithm where one of the main objectives is to determine the similarity of behavior in cases for patients with dyslalia. This algorithm is under the methodology of experimental tests, investigating different algorithms to determine the greatest percentage similarity to this type of cases under a database previously made with the different treatments studied by the different branches of Medicine and Psychology, putting in the development of the same through the languages of Python and Php, which could determine which algorithm most applicable for this study is the aforementioned Levenshtein, whose accuracy is optimal compared to the other algorithms studied, during interviews and surveys carried out to people related to this study will determine that the knowledge at the computer level in these people is low since they did not imagine that the technology could have a medical, psychological and social benefit, thus achieving its satisfaction, despite the distrust in the system the affected will be affected with the results of the algorithm presented. Finally, the conclusions are presented, where it is shown that the similarity algorithm developed helps specialists to obtain more optimal and accurate information in the search for treatments already affected to previous patients, the positive results obtained in a shorter period.
Dyslalia is a language disorder that occurs mainly in children 4 to 12 years old that even in certain cases can persist into adulthood if time is not treated, the complications that this disorder brings involve serious consequences such stories as bullying and discrimination, to expedite the processes of specialists dealing with this type of situation was processed with the creation of a similarity algorithm where one of the main objectives is to determine the similarity of behavior in cases for patients with dyslalia. This algorithm is under the methodology of experimental tests, investigating different algorithms to determine the greatest percentage similarity to this type of cases under a database previously made with the different treatments studied by the different branches of Medicine and Psychology, putting in the development of the same through the languages of Python and Php, which could determine which algorithm most applicable for this study is the aforementioned Levenshtein, whose accuracy is optimal compared to the other algorithms studied, during interviews and surveys carried out to people related to this study will determine that the knowledge at the computer level in these people is low since they did not imagine that the technology could have a medical, psychological and social benefit, thus achieving its satisfaction, despite the distrust in the system the affected will be affected with the results of the algorithm presented. Finally, the conclusions are presented, where it is shown that the similarity algorithm developed helps specialists to obtain more optimal and accurate information in the search for treatments already affected to previous patients, the positive results obtained in a shorter period.
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Palabras clave
Dislalia, Algoritmo, Similitud, Trastorno, Levenshtein, Dyslalia, Algorithm, Similarity, Disorder, Levenshtein