AAI_2025_Capstone_Chronicles_Combined
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Zhang, D., Thadajarassiri, J., Sen, C., & Rundensteiner, E. (2020). Time-aware transformer-based
network for clinical notes series prediction . In Proceedings of the Machine Learning for Healthcare
Conference (Vol. 126, pp. 1 – 22). PMLR. https://proceedings.mlr.press/v126/zhang20c/zhang20c.pdf
Zhou, H., Zhang, S., Peng, J., Zhang, S., Li, J., Xiong, H., & Zhang, W. (2021). Informer: Beyond
efficient transformer for long sequence time-series forecasting . https://arxiv.org/abs/2012.07436
Appendix
A.1 GitHub Repository
https://github.com/suvoganguli/AAI590_CapstoneProject
A.2 Asana Board
https://app.asana.com/1/952672460738672/project/1210723072035418/list/1210723120232316
A.3 Figures
Figure 1
Missing values in the features
Figure 2
Correlations of Dynamic Features
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