Ai-Ling Lin
Biographic Data
| ID | 7977966 |
|---|---|
| NAME | Ai-Ling Lin |
| GIVEN NAMES | Ai-Ling |
| FAMILY NAME | Lin |
| SIGNATURE | LIN A |
| AFFILIATIONS | Institute of Informatics of the Slovak Academy of Sciences |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Machine learning framework for depression subtype grouping
Introduction Major depressive disorder (MDD) affects approximately one in six individuals over their lifetime, with many patients experiencing treatment-resistant depression, characterized by inadequate or insufficient response from at least one antidepressant treatment. Current classification strategies for depression rely primarily on clinical assessment of symptom severity, which are prone to reader bias and test-retest variability. Moreover, …
No prominent works on this page.
Machine learning framework for depression subtype grouping
Introduction Major depressive disorder (MDD) affects approximately one in six individuals over their lifetime, with many patients experiencing treatment-resistant depression, characterized by inadequate or insufficient response from at least one antidepressant treatment. Current classification strategies for depression rely primarily on clinical assessment of symptom severity, which are prone to reader bias and test-retest variability. Moreover, …
Canonical correlation (1 works) · Cluster analysis (1 works) · Correlation (1 works) · Depression (economics (1 works) · Digital Mental Health Interventions (1 works) · Emotion and Mood Recognition (1 works) · Functional magnetic resonance imaging (1 works) · Major depressive disorder (1 works) · Treatment of Major Depression (1 works) · Voxel (1 works)