Research output per year
Research output per year
Personal profile
Research Biography
Shaowen joined the School of Computer Science, Engineering and Mathematics in 2005. She worked for Motorola Global Software Group as a senior staff engineer and program manager from 1997 to 2005. She was a lecturer at the National University of Singapore from 1993 to 1997.
Research Interests
Shaowen's current research interests include problem identification and design optimisation of complex processes and socio-technical systems through modeling and simulation; and uncertainty management and decision support methodologies for software engineering and hospital care capacity planning.
Completed Supervisions
Associate Supervisions:
- Software Quality Management (1)
Supervision
- Registered
Research Areas
- Digital health
Supervisory Interests
- Systems dynamic modelling and simulation
- Data mining and knowledge discovery
- Software engineering
- Decision support systems
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Novel Application of a Mutual Information Measure for Analysing Temporal Changes in Healthcare Network Graphs
Ben-Tovim, D., Bajger, M. & Qin, S., 2023, Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Proceedings. Yang, X., Suhartanto, H., Wang, G., Wang, B., Jiang, J., Li, B., Zhu, H. & Cui, N. (eds.). Cham, Switzerland: Springer Science and Business Media Deutschland GmbH, p. 92-102 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14178 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs
Liu, Y., Zhang, Z., Qin, S., Salim, F. D. & Yepes, A. J., 2023, Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Proceedings. De Francisci Morales, G., Perlich, C., Ruchansky, N., Kourtellis, N., Baralis, E. & Bonchi, F. (eds.). Cham, Switzerland: Springer Science and Business Media Deutschland GmbH, p. 428-443 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14174 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Citation (Scopus) -
Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health Records
Liu, Y., Zhang, Z. & Qin, S., 2 Aug 2023, IJCNN 2023 - International Joint Conference on Neural Networks, Proceedings. Institute of Electrical and Electronics Engineers, 9 p. (Proceedings of the International Joint Conference on Neural Networks; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health Records
Liu, Y., Zhang, Z. & Qin, S., 2 Aug 2023, IJCNN 2023 - International Joint Conference on Neural Networks, Proceedings. Institute of Electrical and Electronics Engineers, 8 p. (Proceedings of the International Joint Conference on Neural Networks; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction
Liu, Y., Zhang, Z., Thompson, C., Leibbrandt, R., Qin, S. & Yepes, A. J., 2 Aug 2023, IJCNN 2023 - International Joint Conference on Neural Networks, Proceedings. Institute of Electrical and Electronics Engineers, 8 p. 10191099. (Proceedings of the International Joint Conference on Neural Networks; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review