Methodology for the Use of Machine Learning, Applied in Predicting the Level of Success in Legal Cases

Wilver Auccahuasi, Lucas Herrera, Karin Rojas, Kitty Urbano, Brayan Peláez, Pedro Flores Peña, Yuly Montes Osorio, Grisi Bernardo, Madelaine Bernardo, Sandra Meza, Christian Ovalle, Francisco Hilario, Milner Liendo, Fernando Sernaque

Producción científica: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

Resumen

ICTs have allowed the applications of artificial intelligence to grow exponentially, where different applications are being presented, based on the application of neural networks as prediction mechanisms for different processes and applications, in the present work the use of the Neural networks for the legal case prediction process, in which the analysis of approximately 200 cases was used between cases that had "positive and negative" final results, the expected results after implementing the solution in the MATLAB tool, they presented us effectiveness results in a value of 93%, as a conclusion we can indicate that the model provided allows us to be applied in other conditions as well as to be scaled, taking into account the historical data that may be available for the training process.

Idioma originalInglés
Páginas (desde-hasta)48-54
Número de páginas7
PublicaciónCEUR Workshop Proceedings
Volumen3146
EstadoPublicada - 2022
Evento2022 Workshop on Artificial Intelligence, WAI 2022 - Virtual, Online, India
Duración: 28 ene. 202229 ene. 2022

Huella

Profundice en los temas de investigación de 'Methodology for the Use of Machine Learning, Applied in Predicting the Level of Success in Legal Cases'. En conjunto forman una huella única.

Citar esto