cris.boxmetadata.label.title
MonDep App: Monitoring patients with depression using sentiment analysis of therapeutic diary entries
cris.boxmetadata.label.dateissued
01 browse.startsWith.months.january 2021
cris.boxmetadata.label.accesslevel
metadata only access
cris.boxmetadata.label.resourcetype
conference paper
cris.boxmetadata.label.authors
cris.boxmetadata.label.publisher
Institute of Electrical and Electronics Engineers Inc.
cris.boxmetadata.label.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.
cris.boxmetadata.label.language
English
cris.boxmetadata.label.ocdeknowledgeArea
Psicología (incluye relaciones hombre-máquina)
cris.boxmetadata.label.doi
cris.boxmetadata.label.scopusidentifier
2-s2.0-85124406240
cris.boxmetadata.label.partofresource
Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
cris.boxmetadata.label.containerisbn
978-166542914-6
cris.boxmetadata.label.conference
5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
cris.boxmetadata.label.sponsor
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.
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