DEVELOPMENT OF A WEB PLATFORM FOR EARLY BREAST CANCER DIAGNOSIS BASED ON ARTIFICIAL INTELLIGENCE AND OPTIMIZATION ALGORITHMS
Keywords:
breast cancer, artificial intelligence, machine learning, diagnostic algorithm, optimization, web platformAbstract
This study addresses early breast cancer detection using an AI-based approach. A web platform, “Smart Diagnosis,” analyzes users’ medical parameters and survey data. Its diagnostic algorithm relies on machine learning, optimal feature selection, and classification error minimization. The system processes user data, generates diagnostic outcomes, and aids medical decision-making. Practical aspects, algorithm modeling, diagnostic accuracy, and web integration are examined. Results show that the system enables highly accurate early detection of breast cancer and offers practical value in modern medicine.
References
Хайдаров, Ш. И. (2025). Постановка задачи оптимизации, основанной на минимизации ошибок диагностики. Современные инновации, системы и технологии-Modern Innovations, Systems and Technologies, 5(1), 2010-2016.
Nishanov, A., Mamajanov, R., Xaydarov, S., & Mengturayev, F. (2025). Saraton kasalliklarini erta aniqlashning muhimligi va zamonavaiy texnologiyalarga asoslangan usul va algoritmlari. Digital transformation and artificial intelligence, 3(1), 110-117.
Khasanovich, N. A., Yakubjanovich, M. R., o‘g‘li, x. S. I., Ziyatovich, m. F., & raxmonovich, y. R. (2025). Sut bezi saratoni diagnostikasining matematik modellari. Al-farg’oniy avlodlari, 1(1), 6-14.
Nishanova, Y. X., Ibroximova, F. J., & Musulmonov, Sh. R. (2023). Sut bezi saratoni skriningi. Science and Pedagogy in the Modern World, 1(1), 67–69.
Nishanova, Y. X., Ibroximova, F. J., & Musulmonov, Sh. R. (2023). Sut bezi saratoni skriningi. Zenodo.
Giger, M. L. (2020). Machine learning in medical imaging: Breast cancer diagnosis and prognosis. Annual Review of Biomedical Engineering, 22, 147–171.
Harbeck, N., Penault-Llorca, F., Cortes, J., Gnant, M., Houssami, N., Poortmans, P., ... & Cardoso, F. (2019). Breast cancer. Nature Reviews Disease Primers, 5(1), 66.
Bozorov, E. X., & Ergashev, A. J. (2022). Tibbiyotda magnit rezonans tomografiyasi mavzusni yangi pedagogik texnologiya asosida o‘qitish. Pedagogik Mahorat, 2, 222–227.
Alimkhodjaeva, L. T., & Norbekova, M. H. (2020). Clinical significance of the density of tumor microvessels in breast cancer in men. Central Asian Journal of Medicine, 2, 56–64.
Zakirova, L. T., & Alimkhodjaeva, L. T. (2018). Chromosomal disorders and aberrant DNA methylation as early biomarkers of breast cancer risk in young women. Journal of Life Science and Biomedicine, 8(1), 1–5.
Norbekova, M. H., Alimkhodjaeva, L. T., & Mirolimov, M. M. (2019). Vzglyad na problemu raka molochnoy zhelezy u muzhchin v Respublike Uzbekistan. Uzbekistan Medical Journal, 1, 56–64.
Gonzalez, R., Nejat, P., Saha, A., Campbell, C. J. V., Norgan, A. P., & Lokker, C. (2023). Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review. arXiv preprint arXiv:2312.06697.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2025 Xaydarov Sherali
This work is licensed under a Creative Commons Attribution 4.0 International License.
