K-NN Algoritmi Bilan Kasallik Tashxisi
Kalit so'zlar:
K-NN algoritmi, mashinaviy o‘qitish, tibbiy diagnostika, kasallik tashxisi, sun’iy intellekt, tasniflash, masofa metrikalariAnnotatsiya
Ushbu maqolada mashinaviy o‘qitishning eng sodda va tushunarli algoritmlaridan biri bo‘lgan K-Nearest Neighbors (K-NN) algoritmining tibbiy diagnostikada qo‘llanilishi yoritiladi. Algoritmning ishlash tamoyillari, masofa hisoblash usullari, K parametrini tanlash masalalari hamda real tibbiy misollar asosida kasalliklarni aniqlash imkoniyatlari tahlil qilinadi. Shuningdek, K-NN algoritmining afzallik va kamchiliklari, ma’lumotlarni tayyorlash jarayonlari hamda algoritmni takomillashtirish yo‘llari ko‘rib chiqiladi. Tadqiqot natijalari K-NN algoritmi to‘g‘ri sozlangan va sifatli ma’lumotlar bilan ishlatilganda tibbiy tashxis qo‘yishda samarali vosita bo‘lishini ko‘rsatadi
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