Advancing mortality risk prediction in sickle cell disease through multi-task deep learning models.
- DOI
- 10.1182/bloodadvances.2026020497
- Published
- 2026 Sep 24
- Container
- Blood advances
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1182/bloodadvances.2026020497,
title = {Advancing mortality risk prediction in sickle cell disease through multi-task deep learning models.},
author = {Lin G and Tian X and Asomaning N and Conrey A and Wu CO and Miao R and Thein SL},
year = {2026},
journal = {Blood advances},
doi = {10.1182/bloodadvances.2026020497},
url = {https://doi.org/10.1182/bloodadvances.2026020497}
}RIS
TY - JOUR TI - Advancing mortality risk prediction in sickle cell disease through multi-task deep learning models. AU - Lin G AU - Tian X AU - Asomaning N AU - Conrey A AU - Wu CO AU - Miao R AU - Thein SL PY - 2026 JO - Blood advances DO - 10.1182/bloodadvances.2026020497 UR - https://doi.org/10.1182/bloodadvances.2026020497 ER -
APA
G, L., X, T., N, A., A, C., CO, W., R, M., & SL, T. (2026). Advancing mortality risk prediction in sickle cell disease through multi-task deep learning models.. Blood advances. https://doi.org/10.1182/bloodadvances.2026020497
Source records
- pubmed · retrieved 2026-09-26T04:04:20.553Z