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Abstract
Mazkur maqolada sog‘liqni saqlash tizimida Big Data texnologiyalaridan foydalanishning ilmiy asoslari va amaliy imkoniyatlari tahlil qilinadi. Tadqiqotda sun’iy intellekt (AI) va katta ma’lumotlar tibbiy bashorat tizimlarini yaratishda qanday rol o‘ynashi yoritilgan. Maqolada ochiq ma’lumotlar manbalari — TCGA, ADNI, MIMIC va TCIA — asosida model ishlab chiqish jarayonlari tahlil qilinadi. Natijalar shuni ko‘rsatadiki, Big Data asosidagi bashorat tizimlari kasalliklarni erta aniqlash, davolash jarayonlarini shaxsiylashtirish va sog‘liqni saqlash resurslaridan samarali foydalanish imkonini beradi.
References
1.The Cancer Genome Atlas (TCGA). (2024). National Cancer Institute. Retrieved from https://www.cancer.gov/tcga
2.Alzheimer’s Disease Neuroimaging Initiative (ADNI). (2023). ADNI Data Portal. Retrieved from https://adni.loni.usc.edu
3.Johnson, A. E. W., Pollard, T. J., & Mark, R. G. (2020). MIMIC-III, a freely accessible critical care database. Scientific Data, 3(1), 1–9.
4.The Cancer Imaging Archive (TCIA). (2024). Public Imaging Database for Medical AI Research. Retrieved from https://www.cancerimagingarchive.net
5.Esteva, A., Robicquet, A., Ramsundar, B., et al. (2019). A guide to deep learning in healthcare. Nature Medicine, 25(1), 24–29.
6.Topol, E. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 25, 44–56.