MUSE-Net: Missingness-Aware Multi-Branching Self-Attention Encoder for Irregular Longitudinal Electronic Health Records

Zekai Wang, Tieming Liu, Bing Yao

Open source

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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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

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