Enhancing generalization in a Kawasaki Disease prediction model using data augmentation: Cross-validation of patients from two major hospitals in Taiwan.
Kawasaki Disease (KD) is a rare febrile illness affecting infants and young children, potentially leading to coronary artery complications and, in severe cases, mortality if untreated. However, KD is frequently misdiagnosed as a common fever in clinical settings, and the inherent data imbalance furt...
Saved in:
| Main Authors: | Chuan-Sheng Hung, Chun-Hung Richard Lin, Jain-Shing Liu, Shi-Huang Chen, Tsung-Chi Hung, Chih-Min Tsai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0314995 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Multi-Stage Framework for Kawasaki Disease Prediction Using Clustering-Based Undersampling and Synthetic Data Augmentation: Cross-Institutional Validation with Dual-Center Clinical Data in Taiwan
by: Heng-Chih Huang, et al.
Published: (2025-07-01) -
Selective Serotonin Reuptake Inhibitors for Cessation of Betel Quid Use in Patients with Major Depressive Disorder in Taiwan
by: Chung-Chieh Hung, et al.
Published: (2024-11-01) -
Estimation of the Incidence of Kawasaki Disease in Taiwan. A Comparison of Two Data Sources: Nationwide Hospital Survey and National Health Insurance Claims
by: Hung-Chi Lue, et al.
Published: (2014-04-01) -
Overview of the TMS development in Taiwan
by: Chun-Hung Chang
Published: (2025-01-01) -
The Digital Age of Psychiatry in Taiwan: New Opportunities and Challenges
by: Chun-Hung Lee
Published: (2025-01-01)