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Yuxi Liu
Publications
- 2023
- [c54]Yuxi Liu, Zhenhao Zhang, Campbell Thompson, Richard Leibbrandt, Shaowen Qin, Antonio Jimeno-Yepes:
Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction. IJCNN 2023: 1-8 - [c52]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes:
Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs. ECML/PKDD (6) 2023: 428-443 - [i8]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes:
Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs. CoRR abs/2308.09896 (2023) - [i7]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes, Jun Shen:
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction. CoRR abs/2308.12575 (2023) - 2022
- [c50]Yuxi Liu, Zhenhao Zhang, Antonio Jimeno-Yepes, Flora D. Salim:
Modeling long-term dependencies and short-term correlations in patient journey data with temporal attention networks for health prediction. BCB 2022: 16:1-16:10 - [c48]Yuxi Liu, Shaowen Qin, Antonio Jimeno-Yepes, Wei Shao, Zhenhao Zhang, Flora D. Salim:
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. BIBM 2022: 1658-1663 - [i4]Yuxi Liu, Zhenhao Zhang, Antonio Jimeno-Yepes, Flora D. Salim:
Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction. CoRR abs/2207.06414 (2022) - [i2]Yuxi Liu, Shaowen Qin, Antonio Jimeno-Yepes, Wei Shao, Zhenhao Zhang, Flora D. Salim:
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. CoRR abs/2211.06045 (2022)
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