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

Andres Carcamo, Franco Kemper, David Mauricio

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665429146
DOIs
StatePublished - 2021
Event5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021 - Lima, Peru
Duration: 17 Nov 202119 Nov 2021

Publication series

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

Conference

Conference5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
Country/TerritoryPeru
CityLima
Period17/11/2119/11/21

Bibliographical note

Funding Information:
ACKNOWLEDGMENT The authors express their gratitude to the specialists and patients who have participated in the surveys. This research was partially supported by Universidad Peruana de Ciencias Aplicadas (UPC), Project 2021.

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Depression
  • Monitoring
  • Sentiment analysis
  • Therapeutic diary
  • mHealth

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