Abstract
Depression is regarded as a widespread mental condition that affects people of all ages. It has a negative impact on a variety of aspects of life, including mood, vigor, and interests in enjoying activities. In the most severe cases, depression can also result in suicide. creating the chance for collaboration between mental health professionals and the use of technical tools to enhance the assessment of the severity of depression to offer the patient with an ideal clinical diagnosis and an appropriate referral to begin treatment. The COVID-19 epidemic in Peru has decreased face-to-face interaction and quick access to medical professionals, making it more difficult for patients’ mental health to be identified or treated effectively, which results in the disease becoming chronic, psychological suffering, and high costs associated with specialized care. The implementation of a technology model that assesses degrees of recurrent depression by examining facial photos and voice to identify the chronicity of depressive symptoms in young Peruvians is thus one of the research’s problems. Our findings demonstrate that, based on the functions of the mobile application, adolescent patients were predisposed to complete a self-administered depression questionnaire in a simulated setting with an optimal feeling of satisfaction and usefulness.
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Notes
- 1.
“Adolescent mental health” - WHO.
- 2.
Depression - National Ministry of Health (in Spanish).
- 3.
“Depression” - WHO.
- 4.
“Severe depression is the principal cause of death by suicide” - MINSA (2019).
- 5.
- 6.
- 7.
- 8.
- 9.
“Back office software” - FinancialForce.
- 10.
- 11.
“In October, the distribution of tablets to students and teachers will begin” - shorturl.at/ahuP6.
- 12.
“App development to monitor depressed patients during the performance of stress tests” - shorturl.at/rJMSU.
- 13.
“Health Situation of Adolescents and Young People in Peru” (in Spanish) - MINSA.
- 14.
“Introduction to .NET” - Microsoft.
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Ramos-Cuadros, A., Santillan, L.P., Ugarte, W. (2023). Evaluating the Depression Level Based on Facial Image Analyzing and Patient Voice. In: Maciaszek, L.A., Mulvenna, M.D., Ziefle, M. (eds) Information and Communication Technologies for Ageing Well and e-Health. ICT4AWE ICT4AWE 2021 2022. Communications in Computer and Information Science, vol 1856. Springer, Cham. https://doi.org/10.1007/978-3-031-37496-8_3
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