MonDep App: Monitoring patients with depression using sentiment analysis of therapeutic diary entries

Andres Carcamo, Franco Kemper, David Mauricio

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Resumen

This paper proposes MonDep, a web-mobile application for the monitoring of patients with mild and moderate depression based on the PHQ-9 test and the automatic evaluation of therapeutic diary entries. MonDep allows patients to record their daily activities in a therapeutic diary, which is evaluated using sentiment analysis and their results of the PHQ-9 test. This allows the specialist to monitor the progress of the patient's depression treatment through a dashboard. The usability test applied to three depression psychologists shows that they find it user-friendly and easy to access. Due to its usability, low cost, and reliability, this application will be useful for the treatment of depression and will reduce treatment discontinuation.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665429146
DOI
EstadoPublicada - 2021
Publicado de forma externa
Evento5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021 - Lima, Perú
Duración: 17 nov. 202119 nov. 2021

Serie de la publicación

NombreProceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021

Conferencia

Conferencia5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
País/TerritorioPerú
CiudadLima
Período17/11/2119/11/21

Nota bibliográfica

Publisher Copyright:
© 2021 IEEE.

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