Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/99106
Title: | Sistema de estratificación y predicción de salud mental en trabajadores tecnológicos |
Author: | Arrúe Gabarain, Mónica |
Director: | Rius, Àngels ![]() |
Tutor: | Pérez Álvarez, Susana |
Keywords: | data mining machine learning mental health |
Issue Date: | 9-Jun-2019 |
Publisher: | Universitat Oberta de Catalunya (UOC) |
Abstract: | Mental illness is one of the world's major health problems. According to WHO, approximately 450 million people worldwide suffer from some form of mental or behavioural disorder. Although more and more is known about these types of diseases and their origins, much remains to be discovered about them. This work seeks to make a description of the current mental health situation of tech workers in different countries, with the main objective of discovering the prevalence of mental illnesses and the main mental health indicators in this group of workers. |
Language: | Spanish |
URI: | http://hdl.handle.net/10609/99106 |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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marrueTFM0619memoria.pdf | Memoria del TFM | 1,46 MB | Adobe PDF | ![]() View/Open |
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