AAI_2025_Capstone_Chronicles_Combined

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Saito, T., & Rehmsmeier, M. (2015). The precision – recall plot is more informative than the ROC plot

when evaluating binary classifiers on imbalanced datasets. PLOS ONE, 10 (3), e0118432.

https://doi.org/10.1371/journal.pone.0118432

Silva, I., Moody, G., Scott, D. J., Celi, L. A., & Mark, R. G. (2012). Predicting in-hospital mortality of

ICU patients: The PhysioNet/Computing in Cardiology Challenge 2012 . Computing in Cardiology, 39,

245 – 248. https://www.cinc.org/archives/2012/pdf/0245.pdf

Teasdale, G., Maas, A., Lecky, F., Manley, G., Stocchetti, N., & Murray, G. (2014). The Glasgow Coma

Scale at 40 years: Standing the test of time . The Lancet Neurology, 13(8), 844 – 854.

https://doi.org/10.1016/S1474-4422(14)70120-6

TimesFM. (2025). Huggingface.co.

https://huggingface.co/docs/transformers/model_doc/timesfm#transformers.TimesFmModelForPrediction

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I.

(2017, June 12). Attention is all you need . arXiv. https://arxiv.org/abs/1706.03762

Wu, H., Xu, J., Wang, J., & Long, M. (2021). Autoformer: Decomposition transformers with auto

correlation for long-term series forecasting . arXiv (Cornell University).

https://doi.org/10.48550/arxiv.2106.13008

Yeh, Y.-C., Kuo, Y.-T., Kuo, K.-C., Cheng, Y.-W., Liu, D.-S., Lai, F., Kuo, L.-C., Lee, T.-J., Chan, W.-

S., Chiu, C.-T., Tsai, M.-T., Chao, A., Chou, N.-K., Yu, C.-J., & Ku, S.-C. (2024). Early prediction of

mortality upon intensive care unit admission. BMC Medical Informatics and Decision Making, 24 (1).

https://doi.org/10.1186/s12911-024-02807-6

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