Dayo Bakare*

Department of Technological Innovations, ADQUIZZER, Nigeria

*Corresponding Author: Dayo Bakare, Department of Technological Innovations, ADQUIZZER, Nigeria.

Received: September 27, 2023; Published: November 01, 2023

Abstract

Suicide, a global public health crisis, claims over 800,000 lives annually, revealing stark and painful statistics that echo tales of suffering, despair, and irreplaceable loss. Traditional approaches to suicide prevention have often proved insufficient in timely identification and intervention, leaving a harrowing gap. Yet, within the realm of artificial intelligence (AI) and predictive analytics, a glimmer of hope emerges. This article explores AI's transformative role in suicide prevention, extending a vital lifeline to those in crisis through the power of predictive analytics.

References

Citation

Citation: Dayo Bakare. “AI and Suicide Prevention: Saving Lives Through Predictive Analytics".Acta Scientific Computer Sciences 5.12 (2023): 01.

Copyright

Copyright: © 2023 Dayo Bakare. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.