Development and validation of a deep learning model to predict heparin response in critically ill patients with deep vein thrombosis receiving continuous intravenous heparin infusion
- DOI
- 10.1097/bs9.0000000000000300
- Published
- 2026-08-17
- Container
- Blood Science
- Publisher
- Ovid Technologies (Wolters Kluwer Health)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1097/bs9.0000000000000300,
title = {Development and validation of a deep learning model to predict heparin response in critically ill patients with deep vein thrombosis receiving continuous intravenous heparin infusion},
author = {Shengjun Liu and Longxiang Su and Sihang Zhang and Huacong Cai and Weiling Shou and Bo Tang and Xinchen Wang and Anhui Guo and Weiguo Zhu and Yun Long},
year = {2026},
journal = {Blood Science},
doi = {10.1097/bs9.0000000000000300},
url = {https://doi.org/10.1097/bs9.0000000000000300}
}RIS
TY - JOUR TI - Development and validation of a deep learning model to predict heparin response in critically ill patients with deep vein thrombosis receiving continuous intravenous heparin infusion AU - Shengjun Liu AU - Longxiang Su AU - Sihang Zhang AU - Huacong Cai AU - Weiling Shou AU - Bo Tang AU - Xinchen Wang AU - Anhui Guo AU - Weiguo Zhu AU - Yun Long PY - 2026 JO - Blood Science DO - 10.1097/bs9.0000000000000300 UR - https://doi.org/10.1097/bs9.0000000000000300 ER -
APA
Liu, S., Su, L., Zhang, S., Cai, H., Shou, W., Tang, B., Wang, X., Guo, A., Zhu, W., & Long, Y. (2026). Development and validation of a deep learning model to predict heparin response in critically ill patients with deep vein thrombosis receiving continuous intravenous heparin infusion. Blood Science. https://doi.org/10.1097/bs9.0000000000000300
Source records
- crossref · retrieved 2026-09-26T21:08:20.258Z