Virtual Nurse for Detecting Suicide Risk Behaviors in Adolescents
Dublin Core
Title
Virtual Nurse for Detecting Suicide Risk Behaviors in Adolescents
Subject
adolescents, early
detection, suicide
behavior, virtual
nurse
detection, suicide
behavior, virtual
nurse
Description
Introduction: Suicide is a complex phenomenon that is intriguing to study
because its causes are still not fully understood. This phenomenon often
garners media attention, as the number of incidents has significantly
increased. Suicidal ideation frequently occurs in teenagers, and many who
seek consultation report similar thoughts or engage in self-harm. The
approach to problem-solving proposed in this research is the use of a
virtual nurse as an early detection service for suicide risk behavior. A
Virtual Nurse is an artificial intelligence-based application or system
designed to provide health services and psychological support,
particularly for teenagers. The Virtual Nurse uses machine learning
algorithms to analyze user behavior, speech patterns, and interactions to
identify signs of suicide risk. This study aims to analyze the effectiveness
of the Virtual Nurse in detecting suicide risk behavior in adolescents.
Methods: This research utilized a pre-experimental design with a one-shot
case study approach.
Results: The implementation of the virtual nurse application for the
detection of suicide risk behavior in adolescents over four weeks yielded
favorable outcomes for 116 students (16%), while 74 students (39%)
were categorized as showing poor results and the score for using virtual
nurse in detecting suicide risk was 84 points. The result was that virtual
nurse were classified as good in detecting suicide risk behavior in
adolescents.
Conclusion: The virtual nurse is an artificial intelligence-based application
or system designed to provide psychological services and support to its
users, particularly teenagers.
because its causes are still not fully understood. This phenomenon often
garners media attention, as the number of incidents has significantly
increased. Suicidal ideation frequently occurs in teenagers, and many who
seek consultation report similar thoughts or engage in self-harm. The
approach to problem-solving proposed in this research is the use of a
virtual nurse as an early detection service for suicide risk behavior. A
Virtual Nurse is an artificial intelligence-based application or system
designed to provide health services and psychological support,
particularly for teenagers. The Virtual Nurse uses machine learning
algorithms to analyze user behavior, speech patterns, and interactions to
identify signs of suicide risk. This study aims to analyze the effectiveness
of the Virtual Nurse in detecting suicide risk behavior in adolescents.
Methods: This research utilized a pre-experimental design with a one-shot
case study approach.
Results: The implementation of the virtual nurse application for the
detection of suicide risk behavior in adolescents over four weeks yielded
favorable outcomes for 116 students (16%), while 74 students (39%)
were categorized as showing poor results and the score for using virtual
nurse in detecting suicide risk was 84 points. The result was that virtual
nurse were classified as good in detecting suicide risk behavior in
adolescents.
Conclusion: The virtual nurse is an artificial intelligence-based application
or system designed to provide psychological services and support to its
users, particularly teenagers.
Creator
Yohanes Zenriano Tarigan1* & Dwi Prima Hanis Kusumaningtiyas1
Source
https://doi.org/10.37363/bnr.2024.54435
Date
28 October 2024
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Yohanes Zenriano Tarigan1* & Dwi Prima Hanis Kusumaningtiyas1, “Virtual Nurse for Detecting Suicide Risk Behaviors in Adolescents,” Repository Horizon University Indonesia, accessed April 26, 2026, https://repository.horizon.ac.id/items/show/11860.