SUN'IY INTELLEKT OPTIMALLASHTIRISH ASOSIDA SUT BEZI SARATONINI ERTA ANIQLASH PLATFORMASI
https://doi.org/10.5281/zenodo.17241199
Keywords:
sut bezi saratoni, sun’iy intellekt, mashinali o‘rganish, tashxislash algoritmi, optimallashtirish, veb-platformaAbstract
Ushbu ilmiy ishda sut bezi saratonini erta aniqlash uchun sun’iy intellektga asoslangan samarali va innovatsion yechim - “Smart Diagnosis” veb-platformasi taklif etiladi. Tizim foydalanuvchining tibbiy va anketaviy ma’lumotlarini tahlil qilib, mashinali o‘rganish, optimal belgi tanlash hamda tasniflash xatoliklarini minimallashtirish asosida diagnostika amalga oshiradi. Platforma ehtimoliy tashxis natijalarini chiqarib, tibbiy qarorlarni qo‘llab-quvvatlaydi. Tizimning modellashtirish, aniqlik ko‘rsatkichlari va veb-interfeys integratsiyasi batafsil o‘rganilgan. Natijalar, tizimning sut bezi saratonini erta bosqichda yuqori aniqlik bilan aniqlash imkonini berishini ko‘rsatadi.
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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.
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