Preventive depression diagnosis system for school students using emotion detection tools

Diego Cortez; Miguel Manrique; Rosario Villalta

Preventive depression diagnosis system for school students using emotion detection tools

Diego Cortez
, Miguel Manrique
, Rosario Villalta

Faculty of Engineering

Universidad Peruana de Ciencias Aplicadas

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

Abstract

There is currently a lack of systems or software that allow the diagnosis of mental illnesses or that facilitate its detection. Diseases such as depression are the main causes of low productivity and disability in adults, adolescents and children. This study focuses on providing a system that facilitates the diagnosis of depression in the public most vulnerable to this disease: children, so its use is oriented to school students. The system will consist of a psychological test implemented in a mobile application that provides a first result. Possible emotions of the schoolchild will be identified, giving indications that could help identify if the student is going through a depressive condition. After diagnosis, the psychologist will notify the state of the students to their parents.

Original language	English
Title of host publication	IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings
Editors	Nagib C. Callaos, Bill Muirhead, Lorayne Robertson, Belkis Sanchez, Michael Savoie
Publisher	International Institute of Informatics and Systemics, IIIS
Pages	116-120
Number of pages	5
ISBN (Electronic)	9781950492466
State	Published - 2020
Event	14th International Multi-Conference on Society, Cybernetics and Informatics, IMSCI 2020 - Virtual, Online Duration: 13 Sep 2020 → 16 Sep 2020

Publication series

Name	IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings

Conference

Conference	14th International Multi-Conference on Society, Cybernetics and Informatics, IMSCI 2020
City	Virtual, Online
Period	13/09/20 → 16/09/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Children's Depression Inventory
Depression detection
Detecting depression
Psychological test
Software emotion detection

Cite this

Cortez, D., Manrique, M., & Villalta, R. (2020). Preventive depression diagnosis system for school students using emotion detection tools. In N. C. Callaos, B. Muirhead, L. Robertson, B. Sanchez, & M. Savoie (Eds.), IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings (pp. 116-120). (IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings). International Institute of Informatics and Systemics, IIIS.

Cortez, Diego ; Manrique, Miguel ; Villalta, Rosario. / Preventive depression diagnosis system for school students using emotion detection tools. IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings. editor / Nagib C. Callaos ; Bill Muirhead ; Lorayne Robertson ; Belkis Sanchez ; Michael Savoie. International Institute of Informatics and Systemics, IIIS, 2020. pp. 116-120 (IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings).

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title = "Preventive depression diagnosis system for school students using emotion detection tools",

abstract = "There is currently a lack of systems or software that allow the diagnosis of mental illnesses or that facilitate its detection. Diseases such as depression are the main causes of low productivity and disability in adults, adolescents and children. This study focuses on providing a system that facilitates the diagnosis of depression in the public most vulnerable to this disease: children, so its use is oriented to school students. The system will consist of a psychological test implemented in a mobile application that provides a first result. Possible emotions of the schoolchild will be identified, giving indications that could help identify if the student is going through a depressive condition. After diagnosis, the psychologist will notify the state of the students to their parents.",

keywords = "Children's Depression Inventory, Depression detection, Detecting depression, Psychological test, Software emotion detection",

author = "Diego Cortez and Miguel Manrique and Rosario Villalta",

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year = "2020",

language = "Ingl{\'e}s",

series = "IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings",

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editor = "Callaos, \{Nagib C.\} and Bill Muirhead and Lorayne Robertson and Belkis Sanchez and Michael Savoie",

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Cortez, D, Manrique, M & Villalta, R 2020, Preventive depression diagnosis system for school students using emotion detection tools. in NC Callaos, B Muirhead, L Robertson, B Sanchez & M Savoie (eds), IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings. IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings, International Institute of Informatics and Systemics, IIIS, pp. 116-120, 14th International Multi-Conference on Society, Cybernetics and Informatics, IMSCI 2020, Virtual, Online, 13/09/20.

Preventive depression diagnosis system for school students using emotion detection tools. / Cortez, Diego; Manrique, Miguel; Villalta, Rosario.
IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings. ed. / Nagib C. Callaos; Bill Muirhead; Lorayne Robertson; Belkis Sanchez; Michael Savoie. International Institute of Informatics and Systemics, IIIS, 2020. p. 116-120 (IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings).

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

TY - GEN

T1 - Preventive depression diagnosis system for school students using emotion detection tools

AU - Cortez, Diego

AU - Manrique, Miguel

AU - Villalta, Rosario

PY - 2020

Y1 - 2020

N2 - There is currently a lack of systems or software that allow the diagnosis of mental illnesses or that facilitate its detection. Diseases such as depression are the main causes of low productivity and disability in adults, adolescents and children. This study focuses on providing a system that facilitates the diagnosis of depression in the public most vulnerable to this disease: children, so its use is oriented to school students. The system will consist of a psychological test implemented in a mobile application that provides a first result. Possible emotions of the schoolchild will be identified, giving indications that could help identify if the student is going through a depressive condition. After diagnosis, the psychologist will notify the state of the students to their parents.

AB - There is currently a lack of systems or software that allow the diagnosis of mental illnesses or that facilitate its detection. Diseases such as depression are the main causes of low productivity and disability in adults, adolescents and children. This study focuses on providing a system that facilitates the diagnosis of depression in the public most vulnerable to this disease: children, so its use is oriented to school students. The system will consist of a psychological test implemented in a mobile application that provides a first result. Possible emotions of the schoolchild will be identified, giving indications that could help identify if the student is going through a depressive condition. After diagnosis, the psychologist will notify the state of the students to their parents.

KW - Children's Depression Inventory

KW - Depression detection

KW - Detecting depression

KW - Psychological test

KW - Software emotion detection

UR - https://www.scopus.com/pages/publications/85096528092

M3 - Contribución a la conferencia

AN - SCOPUS:85096528092

T3 - IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings

SP - 116

EP - 120

BT - IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings

A2 - Callaos, Nagib C.

A2 - Muirhead, Bill

A2 - Robertson, Lorayne

A2 - Sanchez, Belkis

A2 - Savoie, Michael

PB - International Institute of Informatics and Systemics, IIIS

T2 - 14th International Multi-Conference on Society, Cybernetics and Informatics, IMSCI 2020

Y2 - 13 September 2020 through 16 September 2020

ER -

Cortez D, Manrique M, Villalta R. Preventive depression diagnosis system for school students using emotion detection tools. In Callaos NC, Muirhead B, Robertson L, Sanchez B, Savoie M, editors, IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings. International Institute of Informatics and Systemics, IIIS. 2020. p. 116-120. (IMSCI 2020 - 14th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings).

Preventive depression diagnosis system for school students using emotion detection tools

Abstract

Publication series

Conference

UN SDGs

Keywords

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Cite this