Seo Yeong Kim
Biographic Data
| ID | 7960272 |
|---|---|
| NAME | Seo Yeong Kim |
| GIVEN NAMES | Seo Yeong |
| FAMILY NAME | Kim |
| SIGNATURE | KIM S Y |
| AFFILIATIONS | Kyung Hee University |
| ORCID | 0009-0007-8537-5045 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A multimodal ensemble stacking model improves brain age prediction and reveals associations with schizophrenia symptoms
Our findings demonstrate that integrating sMRI and FA features improves brain age prediction accuracy and generalization. Furthermore, the correlation between brainPAD and clinical symptoms highlights its potential as a biomarker for disease progression and treatment monitoring. These results underscore the value of multimodal neuroimaging and machine learning in advancing psychiatric neuroimaging research and paving the way for clinical applicat…
No prominent works on this page.
A multimodal ensemble stacking model improves brain age prediction and reveals associations with schizophrenia symptoms
Our findings demonstrate that integrating sMRI and FA features improves brain age prediction accuracy and generalization. Furthermore, the correlation between brainPAD and clinical symptoms highlights its potential as a biomarker for disease progression and treatment monitoring. These results underscore the value of multimodal neuroimaging and machine learning in advancing psychiatric neuroimaging research and paving the way for clinical applicat…
Functional Brain Connectivity Studies (1 work) · Machine Learning in Healthcare (1 work) · Medicine (1 work) · Neuroscience (1 work) · Psychiatry (1 work) · Psychology (1 work) · Schizophrenia (object-oriented programming (1 work) · Schizophrenia research and treatment (1 work)