Gye Rok Jeon
Biographic Data
| ID | 8259479 |
|---|---|
| NAME | Gye Rok Jeon |
| GIVEN NAMES | Gye Rok |
| FAMILY NAME | Jeon |
| SIGNATURE | JEON G R |
| AFFILIATIONS | Inha University Hospital |
| ORCID | 0000-0001-8978-489X |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A Predictive Model for Perinatal Brain Injury Using Machine Learning Based on Early Birth Data
the gradient boosting model with ADASYN oversampling effectively predicts perinatal brain injury, potentially improving early detection for predicting long-term outcomes, reducing unnecessary MRI scans, and lowering healthcare costs
No prominent works on this page.
A Predictive Model for Perinatal Brain Injury Using Machine Learning Based on Early Birth Data
the gradient boosting model with ADASYN oversampling effectively predicts perinatal brain injury, potentially improving early detection for predicting long-term outcomes, reducing unnecessary MRI scans, and lowering healthcare costs
Acquired brain injury (1 work) · Artificial Intelligence (1 work) · Cardiac Arrest and Resuscitation (1 work) · Computer Science (1 work) · Machine learning (1 work) · Neonatal and fetal brain pathology (1 work) · Neuroscience (1 work) · Psychology (1 work) · Rehabilitation (1 work) · Traumatic Brain Injury Research (1 work)