AAI_2025_Capstone_Chronicles_Combined

17

Li, Y., Rao, S., Solares, J. R. A., Hassaine, A., Ramakrishnan, R., Canoy, D., Zhu, Y., Rahimi, K., &

Salimi-Khorshidi, G. (2020). BEHRT: Transformer for electronic health records. Scientific Reports,

10 (1), 7155. https://doi.org/10.1038/s41598-020-62922-y

msafi04. (2021). Predict Mortality of ICU Patients — PhysioNet . Kaggle.com.

https://www.kaggle.com/datasets/msafi04/predict-mortality-of-icu-patients-physionet

Nabi, J. (2019, March 16). Hyper-parameter Tuning Techniques in Deep Learning . Medium; TDS

Archive. https://medium.com/data-science/hyper-parameter-tuning-techniques-in-deep-learning

4dad592c63c8

NHANES I Survival Model — SHAP latest documentation . (2018). Readthedocs.io. https://shap

community.readthedocs.io/en/latest/example_notebooks/tabular_examples/tree_based_models/NHANES

%20I%20Survival%20Model.html#SHAP-Summary-Plot

Ordóñez, F. J., & Roggen, D. (2016). Deep convolutional and LSTM recurrent neural networks for

multimodal wearable activity recognition. Sensors, 16 (1), 115. https://doi.org/10.3390/s16010115

PatchTST. (2025). Huggingface.co.

https://huggingface.co/docs/transformers/model_doc/patchtst#transformers.PatchTSTForClassification

Rodgers, J. L., & Nicewander, W. A. (1988). Thirteen ways to look at the correlation coefficient . In L.

Grimm & P. Yarnold (Eds.), Reading and understanding multivariate statistics (pp. 59 – 82). Springer.

https://doi.org/10.1007/978-3-642-00296-0_5

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