Early Prediction of Sepsis Utilizing Self-Regulated Generative Adversarial Network and Deep Transfer Fuzzy SVM
- DOI
- 10.1109/jbhi.2026.3730063
- Published
- 2026
- Container
- IEEE Journal of Biomedical and Health Informatics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2026.3730063,
title = {Early Prediction of Sepsis Utilizing Self-Regulated Generative Adversarial Network and Deep Transfer Fuzzy SVM},
author = {Chien-Feng Kung and Chia-Te Kung and Chih-Min Su and Pei-Yi Hao},
year = {2026},
journal = {IEEE Journal of Biomedical and Health Informatics},
doi = {10.1109/jbhi.2026.3730063},
url = {https://doi.org/10.1109/jbhi.2026.3730063}
}RIS
TY - JOUR TI - Early Prediction of Sepsis Utilizing Self-Regulated Generative Adversarial Network and Deep Transfer Fuzzy SVM AU - Chien-Feng Kung AU - Chia-Te Kung AU - Chih-Min Su AU - Pei-Yi Hao PY - 2026 JO - IEEE Journal of Biomedical and Health Informatics DO - 10.1109/jbhi.2026.3730063 UR - https://doi.org/10.1109/jbhi.2026.3730063 ER -
APA
Kung, C., Kung, C., Su, C., & Hao, P. (2026). Early Prediction of Sepsis Utilizing Self-Regulated Generative Adversarial Network and Deep Transfer Fuzzy SVM. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/jbhi.2026.3730063
Source records
- crossref · retrieved 2026-09-25T19:36:36.725Z