Automation of the psychological care process in university students using machine learning

• Autores: Arroni, Jeremy Galindo, Tresierra, Cristhian Acasiete, Durango, Daniel Burga
• Formato: artículo
• Fecha de Publicación: 2023
• Institución: Universidad Peruana de Ciencias Aplicadas
• Repositorio: UPC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorioacademico.upc.edu.pe:10757/673089
• Enlace del recurso: http://hdl.handle.net/10757/673089
• Nivel de acceso: acceso embargado
• Materia: artificial intelligence; data analysis; psychological variables

With the increase of the university population, the individual psychological care service by psychologists in universities has been affected. Which has caused discomfort among students to access the psychological consulting service. Therefore, this project aims to implement a data analysis system to control the psychological variables that affect university students, improving attention to them through the use of artificial intelligence (AI). We present a system that allows the visualization of data related to the mental health of the students who developed a psychological test, with which the psychologist will be able to diagnose the student's mental state and determine if he or she requires personalized attention. Finally, with this research, we achieved an improvement in the speed of attention and quality of service for the student.