Article Versions Notes

Volovăț SR, Popa TO, Rusu D, Ochiuz L, Vasincu D, Agop M, Buzea CG, Volovăț CC. Comparative Performance of Autoencoders and Traditional Machine Learning Algorithms in Clinical Data Analysis for Predicting Post-Staged GKRS Tumor Dynamics. Diagnostics. 2024; 14(18):2091. https://doi.org/10.3390/diagnostics14182091

Volovăț, Simona Ruxandra, Tudor Ovidiu Popa, Dragoș Rusu, Lăcrămioara Ochiuz, Decebal Vasincu, Maricel Agop, Călin Gheorghe Buzea, and Cristian Constantin Volovăț. 2024. "Comparative Performance of Autoencoders and Traditional Machine Learning Algorithms in Clinical Data Analysis for Predicting Post-Staged GKRS Tumor Dynamics" Diagnostics 14, no. 18: 2091. https://doi.org/10.3390/diagnostics14182091

Volovăț, S. R., Popa, T. O., Rusu, D., Ochiuz, L., Vasincu, D., Agop, M., Buzea, C. G., & Volovăț, C. C. (2024). Comparative Performance of Autoencoders and Traditional Machine Learning Algorithms in Clinical Data Analysis for Predicting Post-Staged GKRS Tumor Dynamics. Diagnostics, 14(18), 2091. https://doi.org/10.3390/diagnostics14182091