Abstract
This article proposes a technological solution for the control and monitoring of anxiety disorder behavior in vulnerable populations that allows receiving symptomatology data, tests and manifestations in real time during psychological therapies The result of this research seeks to optimize the time of attention and to monitor patients in psychological therapies through the use of neural networks and the systematization of psychological tests. This proposal consists of 4 phases: 1. Collection of test results and alerts; 2. Reception of the collected information; 3. The technological solution was validated in a community mental health center in the district of San Martin de Porres in Lima, Peru. Preliminary results showed that technological solution allows to reduce time of psychological therapies by 25% and has an efficiency of 80% based on the tests performed.
| 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 | |
| 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 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Anxiety Disorder
- Children
- Monitoring System
- Neural Network
- Symptom Collection
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