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

Auccahuasi W.; Herrera L.; Rojas K.; Urbano K.; Peláez B.; Peña P.F.; Osorio Y.M.; Bernardo G.; Bernardo M.; Meza S.; Ovalle C.; Hilario F.; Liendo M.; Sernaque F. · CEUR Workshop Proceedings (2022)

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.

Instituciones: Universidad Nacional Mayor de San Marcos; Universidad ESAN; Universidad Científica del Sur; Universidad Tecnológica del Perú; Universidad Continental; Universidad Privada San Juan Bautista; Universidad César Vallejo; Universidad Autónoma de Ica; Universidad Privada del Norte