Advanced Trans-EEGNet Deep Learning Model for Hypoxic-Ischemic Encephalopathy Severity Grading
Hypoxic-ischemic encephalopathy (HIE) is a brain injury condition that poses a significant risk to newborns, potentially causing varying degrees of damage to the central nervous system. Its clinical manifestations include respiratory distress, cardiac dysfunction, hypotension, muscle weakness, seizu...
Saved in:
| Main Authors: | Dong-Her Shih, Feng-I Chung, Ting-Wei Wu, Shuo-Yu Huang, Ming-Hung Shih |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/12/24/3915 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
THE DIAGNOSTIC VALUE OF EEG AND BIOCHEMICAL MARKERS OF BRAIN INJURY IN HYPOXIC-ISCHEMIC ENCEPHALOPATHY
by: D. V. Blinov
Published: (2017-03-01) -
A novel clinical risk scoring system for neurodevelopmental outcomes among survivors of neonatal hypoxic-ischemic encephalopathy (HIE)
by: Theresa Estiphan, et al.
Published: (2024-07-01) -
Role of microRNA-498 and microRNA-410 in neonatal hypoxic-ischemic encephalopathy
by: Eman Salah Eldeen Arafat, et al.
Published: (2025-07-01) -
PERINATAL BRAIN INJURY: CURRENT ISSUES OF EPIDEMIOLOGY AND APPROACHES TO CLASSIFICATION
by: D. V. Blinov
Published: (2017-03-01) -
Strategy to Identify Infants with Hypoxic Ischemic Encephalopathy for Therapeutic Hypothermia—A Retrospective Audit
by: Kristen Haakons, et al.
Published: (2025-07-01)