MUSE-Net: Missingness-Aware Multi-Branching Self-Attention Encoder for Irregular Longitudinal Electronic Health Records
- DOI
- 10.1109/tase.2026.3672337
- Published
- 2026
- Container
- IEEE Transactions on Automation Science and Engineering
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tase.2026.3672337,
title = {MUSE-Net: Missingness-Aware Multi-Branching Self-Attention Encoder for Irregular Longitudinal Electronic Health Records},
author = {Zekai Wang and Tieming Liu and Bing Yao},
year = {2026},
journal = {IEEE Transactions on Automation Science and Engineering},
doi = {10.1109/tase.2026.3672337},
url = {https://doi.org/10.1109/tase.2026.3672337}
}RIS
TY - JOUR TI - MUSE-Net: Missingness-Aware Multi-Branching Self-Attention Encoder for Irregular Longitudinal Electronic Health Records AU - Zekai Wang AU - Tieming Liu AU - Bing Yao PY - 2026 JO - IEEE Transactions on Automation Science and Engineering DO - 10.1109/tase.2026.3672337 UR - https://doi.org/10.1109/tase.2026.3672337 ER -
APA
Wang, Z., Liu, T., & Yao, B. (2026). MUSE-Net: Missingness-Aware Multi-Branching Self-Attention Encoder for Irregular Longitudinal Electronic Health Records. IEEE Transactions on Automation Science and Engineering. https://doi.org/10.1109/tase.2026.3672337
Source records
- crossref · retrieved 2026-09-25T05:05:21.009Z