Title
Methodology for the Use of Machine Learning, Applied in Predicting the Level of Success in Legal Cases
Date Issued
01 January 2022
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
CEUR-WS
Abstract
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.
Start page
48
End page
54
Volume
3146
Language
English
OCDE Knowledge area
Criminología Informática y Ciencias de la Información
Scopus EID
2-s2.0-85132278300
Source
CEUR Workshop Proceedings
ISSN of the container
16130073
Conference
2022 Workshop on Artificial Intelligence, WAI 2022
Sources of information: Directorio de Producción Científica Scopus