Acute Mental Discomfort Associated with Suicide Behavior in a Clinical Sample of Patients with Affective Disorders
Ascertaining Critical Variables Using Artificial Intelligence Tools
Bibliographic Data
This study defines the interactions among a group of variables associated with suicidal ideation and behavior. By using these variables, it may be possible to create a quick and easy-to-use tool. As such, psychotherapeutic interventions could be designed to mitigate the impact of these variables on the emotional state of individuals, thereby reducing eventual risk of suicide. Such interventions may reinforce psychological well-being, feelings of self-worth, and reasons for living, for each individual in certain groups of patients
Cognitive psychology · Data mining · Decision tree · Machine learning · Measure (data warehouse · Medical emergency · Poison control · Recall · Statistics · Suicide attempt · Suicide prevention · Tree (set theory · Clinical Psychology · Computer Science · Mathematics · Medicine · Psychology · Suicide and Self-Harm Studies · Artificial Intelligence
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |