SUN’IY INTELLEKT ASOSIDA BOLALARDA ONKOLOGIK KASALLIKLARNI ERTA TASHXISLASH JARAYONINING AXBOROT MODELI
DOI:
https://doi.org/10.47390/ts-v4i4y2026N02Ключевые слова:
sun’iy intellekt, axborot modeli, onkologik kasalliklar, diagnostika, tibbiy axborot tizimi.Аннотация
Mazkur maqolada bolalarda onkologik kasalliklarni erta tashxislash jarayonini takomillashtirish maqsadida sun’iy intellekt texnologiyalari asosida axborot modelini ishlab chiqish masalalari ko‘rib chiqilgan. Tadqiqot davomida tibbiy ma’lumotlarni yig‘ish, saqlash, qayta ishlash va tahlil qilish jarayonlari o‘rganildi. Taklif etilgan model klinik ma’lumotlar, laboratoriya natijalari hamda instrumental tekshiruvlar asosida kasallik ehtimolini aniqlash imkonini beradi. Ushbu yondashuv diagnostika jarayonini tezlashtirish hamda shifokorlar uchun qaror qabul qilishni qo‘llab-quvvatlashga xizmat qiladi.
Библиографические ссылки
1. Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson.
2. Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
3. Murayev, A. (2021). Sun’iy intellekt asoslari. Toshkent: Innovatsion rivojlanish
1. nashriyoti.
2. Искусственный интеллект в медицине и здравоохранении //https://center2m.ru/ai-medicine
3. Goodfellow I., Bengio Y., Courville A. Deep Learning. – Cambridge: MIT Press, 2016.
4. Esteva A., Kuprel B., Novoa R. et al. Dermatologist-level classification of skin cancer with deep neural networks. – Nature, 2017, Vol. 542, pp. 115–118.
5. World Health Organization. Global Initiative for Childhood Cancer. – Geneva: WHO, 2023.
6. Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems, 25.
7. LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. nature, 521(7553), 436-444.
This work is licensed under a 