Full connected layer model with self-attention to hourly predict heparin dosage for perioperative cardiac surgery patients
This FC + self-attention model is potentially applicable for giving recommendation for healthcare providers to optimize heparin dosage for cardiac surgery patients.
Authors
- Huaiwu He (ORCID: https://orcid.org/0000-0003-3422-3109)
- Longxiang Su (ORCID: https://orcid.org/0000-0002-0942-2870)
- Bingqing Yang (ORCID: https://orcid.org/0000-0001-9947-8327)
- Huizhen Jiang (ORCID: https://orcid.org/0000-0001-8869-1237)
- Weiguo Zhu (ORCID: https://orcid.org/0000-0003-4215-5839)
- Yun Long
- Zhenhao Wei
- Jiatong Xie
- Anhui Guo
- Shengjun Liu (ORCID: https://orcid.org/0009-0000-6030-1831)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2024-09-08
- DOI
- https://doi.org/10.1016/j.compbiomed.2024.109085
- Citations
- 2
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.80
Funders
- Chinese Academy of Meteorological Sciences
- Beijing Municipal Science and Technology Commission
- Beijing Municipal Natural Science Foundation
- Chinese Academy of Medical Sciences Initiative for Innovative Medicine