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Shaowen Qin
- > Home > Persons > Shaowen Qin
Publications
- 2023
- [c16]Yuxi Liu, Zhenhao Zhang, Shaowen Qin:
NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health Records. IJCNN 2023: 1-8 - [c15]Yuxi Liu, Zhenhao Zhang, Shaowen Qin:
Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health Records. IJCNN 2023: 1-9 - [c14]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 - [c13]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 - [i4]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) - [i3]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
- [c12]Yuxi Liu, Shaowen Qin, Zhenhao Zhang, Wei Shao:
Compound Density Networks for Risk Prediction using Electronic Health Records. BIBM 2022: 1078-1085 - [c11]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 - [c10]Yuxi Liu, Shaowen Qin:
Hospital Readmission Prediction via Personalized Feature Learning and Embedding: A Novel Deep Learning Framework. IEA/AIE 2022: 89-100 - [c9]Yuxi Liu, Shaowen Qin, Zhenhao Zhang:
Epidemic Modeling of the Spatiotemporal Spread of COVID-19 over an Intercity Population Mobility Network. IEA/AIE 2022: 147-159 - [i2]Yuxi Liu, Zhenhao Zhang, Shaowen Qin:
Compound Density Networks for Risk Prediction using Electronic Health Records. CoRR abs/2208.01320 (2022) - [i1]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) - 2021
- [c7]Yuxi Liu, Shaowen Qin:
An Interpretable Machine Learning Approach for Predicting Hospital Length of Stay and Readmission. ADMA 2021: 73-85
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