Platform for Detection of Depression in Medical Students with Improvement Monitoring Using Dialogflow
Depression is a problem frequently found in university students, and even more common in medical students. According to the study ''Prevalence of Depression, Depressive Symptoms, and Suicidal Ideation Among Medical Students'' carried out globally, 27 of medical students have depression. This untreated disorder can have disastrous results in life. of these students, either for being undiagnosed, or for not going to professionals due to time or money issues. Universities, as professional training centers, must ensure the well-being of their students, and provide them with the necessary support against any obstacle that may arise. Thus, we have proposed the Sequitur platform, made up of a mobile and web application, where universities will be able to subscribe and provide interactive help to all their students, through a mobile application with a chatbot which by Using Machine Learning and Data Analytics, it will detect the percentage of depression they may have, and will put them in contact with their respective psychological area, in addition to providing recommendations and facilitating self-monitoring. This paper details the process that was carried out to create this platform, and the respective validations with experts.
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