Overfitting to 'predict' suicidal ideation
Bibliographic Data
| ID | 4652300 |
|---|---|
| Authors | Timothy Verstynen (0000-0003-4720-0336, Carnegie Mellon University, corresponding author), Konrad Paul Kording (0000-0001-8408-4499, University of Pennsylvania) |
| Year | 2023 |
| Volume | 7 |
| Issue | 5 |
| Pages | 680-681 |
| Publication date | 2023-04-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Nature Human Behaviour (JOURNAL) |
| Journal identifiers | ISSN: 2397-3374 • E-ISSN: 2397-3374 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1038/s41562-023-01560-6 |
| PMID | 37024723 |
| OpenAlex | W4362673421 |
| Language | EN |
| Citations received | 1 |
| References cited | 4 |
Artificial neural network · Cognitive science · Environmental health · Ideation · Overfitting · Poison control · Suicidal ideation · Suicide prevention · Computer Science · Genetic Neurodegenerative Diseases · Medicine · Psychology · Psychosomatic Disorders and Their Treatments · Suicide and Self-Harm Studies · Artificial Intelligence
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |