Article Versions Notes

Alam F, Ananbeh O, Malik KM, Odayani AA, Hussain IB, Kaabia N, Aidaroos AA, Saudagar AKJ. Towards Predicting Length of Stay and Identification of Cohort Risk Factors Using Self-Attention-Based Transformers and Association Mining: COVID-19 as a Phenotype. Diagnostics. 2023; 13(10):1760. https://doi.org/10.3390/diagnostics13101760

Alam, Fakhare, Obieda Ananbeh, Khalid Mahmood Malik, Abdulrahman Al Odayani, Ibrahim Bin Hussain, Naoufel Kaabia, Amal Al Aidaroos, and Abdul Khader Jilani Saudagar. 2023. "Towards Predicting Length of Stay and Identification of Cohort Risk Factors Using Self-Attention-Based Transformers and Association Mining: COVID-19 as a Phenotype" Diagnostics 13, no. 10: 1760. https://doi.org/10.3390/diagnostics13101760

Alam, F., Ananbeh, O., Malik, K. M., Odayani, A. A., Hussain, I. B., Kaabia, N., Aidaroos, A. A., & Saudagar, A. K. J. (2023). Towards Predicting Length of Stay and Identification of Cohort Risk Factors Using Self-Attention-Based Transformers and Association Mining: COVID-19 as a Phenotype. Diagnostics, 13(10), 1760. https://doi.org/10.3390/diagnostics13101760