Machine learning for mental health diagnosis
Tackling contributory injustice and epistemic oppression
Bibliographic Data
| ID | 21514625 |
|---|---|
| Authors | Giorgia Pozzi (0000-0001-8928-5513, Delft University of Technology, corresponding author), Michiel De Proost (0000-0003-0545-8515, Ghent University Hospital) |
| Year | 2024 |
| Volume | 50 |
| Issue | 9 |
| Pages | 596-597 |
| Publication date | 2024-09-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Medical Ethics (JOURNAL) |
| Journal identifiers | ISSN: 0306-6800 • E-ISSN: 1473-4257 |
| Publisher | BMJ (PUBLISHER • GB) |
| DOI | 10.1136/jme-2024-110059 |
| PMID | 38816071 |
| OpenAlex | W4399164706 |
| Language | EN |
| Citations received | 1 |
| References cited | 4 |
Data science · Epistemology · Injustice · Mental health · Oppression · Political science · Politics · Psychiatry · Social injustice · Sociology · Computer Science · Epistemology, Ethics, and Metaphysics · Feminist Epistemology and Gender Studies · Law · Philosophy · Psychology · Qualitative Research Methods and Ethics · Social Psychology
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |