Higia: A model for ubiquitous care of people with depression

In this paper, we describe Higia a model designed with the goal of constructing usual trails to identify possible depressive signals, similar to those lived by the user in other previous moments, and warn the related people as quickly as possible, so actions can be taken. This is done through constant evaluation of user characteristics on social networks, e-mails and interactions with your smartphone, computer or other devices, as well as its location. A prototype of the designed solution was implemented and the model was evaluated by the users who used the prototype, their opinions, as well as the opinions of experts in the field were collected. It was found that these data can be rather favorable to treatment depending on the situation and how they are used.