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

Andres Carcamo; Franco Kemper; David Mauricio

doi:10.1109/SHIRCON53068.2021.9652293

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665429146
DOIs	https://doi.org/10.1109/SHIRCON53068.2021.9652293
State	Published - 2021
Event	5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021 - Lima, Peru Duration: 17 Nov 2021 → 19 Nov 2021

Publication series

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

Conference

Conference	5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
Country/Territory	Peru
City	Lima
Period	17/11/21 → 19/11/21

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

Access to Document

10.1109/SHIRCON53068.2021.9652293

Cite this

Carcamo, A., Kemper, F., & Mauricio, D. (2021). MonDep App: Monitoring patients with depression using sentiment analysis of therapeutic diary entries. In Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021 (Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SHIRCON53068.2021.9652293

Carcamo, Andres ; Kemper, Franco ; Mauricio, David. / MonDep App : Monitoring patients with depression using sentiment analysis of therapeutic diary entries. Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021).

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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.",

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Carcamo, A, Kemper, F & Mauricio, D 2021, MonDep App: Monitoring patients with depression using sentiment analysis of therapeutic diary entries. in Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021. Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021, Institute of Electrical and Electronics Engineers Inc., 5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021, Lima, Peru, 17/11/21. https://doi.org/10.1109/SHIRCON53068.2021.9652293

MonDep App : Monitoring patients with depression using sentiment analysis of therapeutic diary entries. / Carcamo, Andres; Kemper, Franco; Mauricio, David.

Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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.

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KW - Monitoring

KW - Sentiment analysis

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KW - mHealth

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M3 - Contribución a la conferencia

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T3 - Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021

BT - Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021

PB - Institute of Electrical and Electronics Engineers Inc.

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Carcamo A, Kemper F, Mauricio D. MonDep App: Monitoring patients with depression using sentiment analysis of therapeutic diary entries. In Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021). doi: 10.1109/SHIRCON53068.2021.9652293

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

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