Hígia: um modelo para cuidado ubíquo de pessoas com depressão

Abstract

The globalized world is changing people's routine of life. Increasingly, they have a stressful life, suffering numerous pressures and developing anxieties. Thereby, much of them, develop mental diseases like depression for example. Nowadays, there are several researches and applications available to assist people who suffer or have suffered from depression. This essay aims to identify users’ daily actions and social interactions, similar to those already identified of previous crises through via various devices it them might uses. Through the collection of e-mail usage information, social networks and the user's location, this model intends to identify whether the user is developing again features of its own depressive profile. The proposed model performs monitoring of user interactions that have already suffered the disease and identifies similar patterns of previous crises. Whenever a pattern of actions is identified, a family member or friend indicated by the user, here called auxiliary, and the doctor in charge, if any, will be notified, thus avoiding the recurrence of a crisis. The model created proposes that the information is collected without user intervention. They just have to accept that there will be monitoring and their interactions will be recorded and evaluated. In the related studies found, most of the interactions with the users might lead them to manipulate the results, such as symptoms and facts to detect a significant symptom of the disease. Hígia proposes no user intervention, because this way, there is no abstraction of information. Furthermore, it analysis social data interactions. These set of features have not been explored together related work researched. Hígia aims to build usual trails to identify possible depressive signs similar to those experienced in previous times by the user and warn related people as soon as possible so that arrangements can be made. This is done through constant evaluation of user characteristics on social networks, e-mails and interactions with your its smartphone, computer or other devices, as well as its location. A prototype of the designed solution was implemented. In order to evaluate the results, seven people were invited to use the prototype, for the period of seven days. Assessment attended seven people who used the prototype for the tracks were formed. The use of the prototype is given for a period of seven days and generated based on an analysis prototype behavior in the generated track, and the comparisons made. Professional psychology area and their opinion on the usefulness of tracks generated to aid in future diagnosis were also questioned. The summary of the results evaluated was presented to some psychologists and their teams, in order to identify the usefulness of tracks generated to help in future diagnosis. Regarding the results with the users, there were a high percentage of positive feedbacks. Users were confident about the use of the application and model and understand the importance of the application functionality. In the feedback received by doctors and specialists all said that the application could be beneficial for the treatment and for patients.