Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/98446
Title: Estudio de prevalencia y predictores de problemas de salud mental entre trabajadores tecnológicos
Author: Lima Rojas, Byron Vinicio
Director: Rius, Àngels  
Tutor: Iglesias Allones, Jose Luis
Abstract: Mental health is as important as physical well-being for people, societies and countries. However, only a small minority of the 450 million people have a mental or behavioral disorder and receive treatment. At present, with the development and innovation, relationships are mandatory and the professionals to maintain the vanguard of the same, both social pressure and labor pressure. Globally, the annual global health cost is $ 2.5 billion and this figure is expected to increase to $ 6 million by 2030. Depression has negative effects on employees' job performance, contributing to presenteeism and absenteeism. After the analysis of data obtained through a survey of professionals from different areas, which is in Kaggle and was obtained by OSMI Mental Health in 2016, the study will focus on the preparation of data and later, through techniques of machine learning, mining of data and data visualization perform the analysis and evaluate the information generated by professionals linked to technology areas, in order to determine the correlation between the support provided by the companies for professionals with mental health problems and the insurance benefits of lifetime.
Keywords: technology
data mining
mental health
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 16-Jun-2019
Publication license: http://creativecommons.org/licenses/by-nc-nd/3.0/es/  
Appears in Collections:Bachelor thesis, research projects, etc.

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