1. M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G.S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, X. Zheng, TensorFlow: Large-scale machine learning on heterogeneous systems, 2015. URL: https://www.tensorflow.org/. software available from tensorflow.org.
2. Evaluation of the comatose child;Abend,2016
3. Continuous prediction of mortality in the picu: a recurrent neural network model in a single center dataset;Aczon;Pediatric Crit. Care Med.,2021
4. A.E.U. Cerna, M. Pattichis, D.P. VanMaanen, L. Jing, A.A. Patel, J.V. Stough, C.M. Haggerty, B.K. Fornwalt, Interpretable neural networks for predicting mortality risk using multi-modal electronic health records, 2019. arXiv preprint arXiv:1901.08125.
5. Interpretable deep models for icu outcome prediction;Che,2016