References
- Bahramnezhad, F., Akbariqomi, M., Arabfard, M., Maher-Sultan, H., & Vahedian-Azimi, A. (2025). Artificial intelligence in military medicine: A comprehensive review and future directions. Journal of Military Medicine, 27(1), 1-10. Available at: https://doi.org/10.30491/jmm.2025.1006856.1321.
- Bishop, C.M. (2006). Pattern recognition and machine learning. Springer.
- Esteva, A., et al. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118. Available at: https://doi.org/10.1038/nature21056.
- Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. Available at: https://doi.org/10.1016/j.patrec.2005.10.010.
- Han, J., Kamber, M., & Pei, J. (2011). Data mining: Concepts and techniques (3rd ed.). Morgan Kaufmann.
- Lloyd, S. (1982). Least squares quantization in PCM. IEEE Transactions on Information Theory, 28(2), 129-137. Available at: https://doi.org/10.1109/TIT.1982.1056489.
- Rajkomar, A., Dean, J., & Kohane, I. (2019). Machine learning in medicine. New England Journal of Medicine, 380(14), 1347-1358. Available at: https://doi.org/10.1056/NEJMra1814259.
- Rajpurkar, P., Chen, E., Banerjee, O., & Topol, E. J. (2022). AI in health and medicine. Nature Medicine, 28, 31-38. Available at: https://doi.org/10.1038/s41591-021-01614-0.
- Rousseeuw, P.J. (1987). Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20, 53-65. Available at: https://doi.org/10.1016/0377-0427(87)90125-7.
- Quinlan, J.R. (1993). C4.5: Programs for machine learning. Morgan Kaufmann.
- Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books.
