Machine learning approaches to distinguish bipolar disorder from borderline personality disorder: a scoping review
Aroldo Dargél, Tanya Tanya, Sara Mahdiabadi, Risa Shorr, Kathleen Pajer · 2026
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Description
Aroldo Dargél and co-authors scope machine learning to split two tangled diagnoses in a 2026 review. Bipolar disorder and borderline personality disorder are often confused, at real cost to patients. The team searched four databases to March 2025 for learning based splits.
Five studies with 591 people qualified. Accuracy ran from the low sixties to near ninety percent. Models called bipolar cases well but stumbled on borderline ones, a split that mirrors clinic strain. Brain image based models hit a fair mark. The review maps both promise and the borderline blind spot.
Catalog record
| CREATOR | Aroldo Dargél, Tanya Tanya, Sara Mahdiabadi, Risa Shorr, Kathleen Pajer |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 28 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |