QANDLI DIABET KASALLIGI NAZORATI VA PROGNOZI UCHUN NEYRON TARMOQLAR ASOSIDA IOT MA’LUMOTLARINI INTELLEKTUAL QAYTA ISHLASH ALGORITMLARI
DOI:
https://doi.org/10.47390/ts-v3i7y2025N2Ключевые слова:
IoT, qandli diabet, neyron tarmoqlar ,ma’lumotlarni intellektual qayta ishlash , monitoring va prognozlash, sun’iy intellekt.Аннотация
Qandli diabet tez tarqaluvchi surunkali kasallik bo‘lib, IoT sensorlar yordamida glyukoza, yurak urishi va boshqa fiziologik parametrlarni real vaqt rejimida monitoring qilish mumkin. Ushbu tadqiqotda CNN, RNN va LSTM modellarining samaradorligi solishtirilib, LSTM eng yuqori aniqlikni (92.1%) ko‘rsatdi. Takroriy yozuvlarni bartaraf etish model samaradorligini oshirdi.
Библиографические ссылки
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