Yonghoon Jun
Dados Biográficos
| ID | 8259481 |
|---|---|
| NOME | Yonghoon Jun |
| PRENOMES | Yonghoon |
| SOBRENOME | Jun |
| ASSINATURA | JUN Y |
| AFILIAÇÕES | Inha University Hospital |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAÇÕES | 0 |
| OBRAS COMO AUTOR | 1 |
| OBRAS COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2024 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2024 |
| ÍNDICE H | 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
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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 obra) · Artificial Intelligence (1 obra) · Cardiac Arrest and Resuscitation (1 obra) · Computer Science (1 obra) · Machine learning (1 obra) · Neonatal and fetal brain pathology (1 obra) · Neuroscience (1 obra) · Psychology (1 obra) · Rehabilitation (1 obra) · Traumatic Brain Injury Research (1 obra)