Year: 2025
Type: article
Abstract: In recent years, the incidence of fatalities resulting from suicide has risen. Suicide is increasingly a leading cause of mortality globally. This growth has resulted in a perilous scenario, that jeopardises human life. Numerous investigations have been conducted to ascertain the causes of such suicides and their prevention. Literature indicates that early diagnosis of suicidal ideation can aid in saving lives. The concept of early detection has prompted several scholars to conduct studies in this area. Numerous research studies have employed machine learning and deep learning models to forecast suicidal ideation. This paper examines the current research conducted on the identification of suicidal ideation utilising machine learning and deep learning methodologies.
Authors: Vipin Kumar Sahu, Dr. Brijendra Gupta
Institution: Savitribai Phule Pune University
Language: English
Topic: Mental Health via Writing
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4415805679