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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