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.
| Mualliflar | Sherali, Xaydarov |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2025-08-30 |
| Son | 3 |
| Betlar | 7-14 |
| Til | Rus |
sut bezi saratoni, sun’iy intellekt, mashinali o‘rganish, tashxislash algoritmi, optimallashtirish, veb-platforma, рак молочной железы, искусственный интеллект, машинное обучение, алгоритм диагностики, оптимизация, веб-платформа, breast cancer, artificial intelligence, machine learning, diagnostic algorithm, optimization, web platform
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