Inter-organ correlation based multi-task deep learning model for dynamically predicting functional deterioration in multiple organ systems of ICU patients
The IOC-MT is a promising MT model for dynamically predicting FD in six organ systems. It can capture inter-organ correlation and adjust the prediction for one organ based on aggregated information from the other organs.
Authors
- Zhixuan Zeng (ORCID: https://orcid.org/0000-0001-9740-1342)
- Yang Liu (ORCID: https://orcid.org/0000-0003-2486-5765)
- Xun Gong (ORCID: https://orcid.org/0000-0003-1705-6935)
- Cai Xu (ORCID: https://orcid.org/0000-0002-1412-4229)
- Yiyang Xie (ORCID: https://orcid.org/0000-0001-8563-2004)
- Wenbin Nan
- Minjie Lin
Institutions
- Central South University (CN)
- Second Xiangya Hospital of Central South University (CN)
Publication Details
- Journal
- BioData Mining
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1186/s13040-025-00445-w
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Central South University
- Natural Science Foundation of Hunan Province