At the Crossroads Between Psychiatry and Machine Learning
Insights Into Paradigms and Challenges for Clinical Applicability
Bibliographic Data
| ID | 15528481 |
|---|---|
| Authors | Sarah Itani (0000-0003-4605-9748, Fund for Scientific Research, corresponding author), Mandy Rossignol (0000-0001-8606-7836, University of Mons) |
| Year | 2020 |
| Volume | 11 |
| Pages | 552262-552262 |
| Publication date | 2020-09-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2020.552262 |
| PMID | 33192664 |
| OpenAlex | W3089307385 |
| Language | EN |
| Citations received | 2 |
| References cited | 40 |
peer reviewed
Clinical psychiatry · Psychiatry · Health, Environment, Cognitive Aging · Machine Learning in Healthcare · Mental Health Research Topics · Psychology
Machine Learning Approaches for Clinical Psychology and Psychiatry
Implementing Machine Learning in Health Care — Addressing Ethical Challenges
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Computational psychiatry as a bridge from neuroscience to clinical applications
Jalons pour une théorie critique du Manuel diagnostique et statistique des troubles mentaux (DSM)
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |