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

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

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 original	Inglés
Título de la publicación alojada	Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781665429146
DOI	https://doi.org/10.1109/SHIRCON53068.2021.9652293
Estado	Publicada - 2021
Publicado de forma externa	Sí
Evento	5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021 - Lima, Perú Duración: 17 nov. 2021 → 19 nov. 2021

Serie de la publicación

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

Conferencia

Conferencia	5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
País/Territorio	Perú
Ciudad	Lima
Período	17/11/21 → 19/11/21

Nota bibliográfica

Publisher Copyright:
© 2021 IEEE.

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10.1109/SHIRCON53068.2021.9652293

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Carcamo, A., Kemper, F., & Mauricio, D. (2021). MonDep App: Monitoring patients with depression using sentiment analysis of therapeutic diary entries. En 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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title = "MonDep App: Monitoring patients with depression using sentiment analysis of therapeutic diary entries",

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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author = "Andres Carcamo and Franco Kemper and David Mauricio",

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Carcamo, A, Kemper, F & Mauricio, D 2021, MonDep App: Monitoring patients with depression using sentiment analysis of therapeutic diary entries. En 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, Perú, 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - MonDep App

T2 - 5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021

AU - Carcamo, Andres

AU - Kemper, Franco

AU - Mauricio, David

PY - 2021

Y1 - 2021

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.

KW - Depression

KW - Monitoring

KW - Sentiment analysis

KW - Therapeutic diary

KW - mHealth

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M3 - Contribución a la conferencia

AN - SCOPUS:85124406240

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.

Y2 - 17 November 2021 through 19 November 2021

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Carcamo A, Kemper F, Mauricio D. MonDep App: Monitoring patients with depression using sentiment analysis of therapeutic diary entries. En 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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