INTEGRATSIYALASHGAN TIBBIYOT AXBOROT TIZIMLARIDA SUN’IY INTELLEKT ALGORITMLARINING SAMARADORLIGINI BAHOLASH

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Originally published in INTERNATIONAL CONFERENCE ON INTERDISCIPLINARY SCIENCE; Vol. 2 No. 12 (2025): INTERNATIONAL CONFERENCE ON INTERDISCIPLINARY SCIENCE; 162-164.

Normo‘minov, Akbar (2025) INTEGRATSIYALASHGAN TIBBIYOT AXBOROT TIZIMLARIDA SUN’IY INTELLEKT ALGORITMLARINING SAMARADORLIGINI BAHOLASH. INTERNATIONAL CONFERENCE ON INTERDISCIPLINARY SCIENCE; Vol. 2 No. 12 (2025): INTERNATIONAL CONFERENCE ON INTERDISCIPLINARY SCIENCE; 162-164.

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Abstract

Ushbu maqolada integratsiyalashgan tibbiyot axborot tizimlarida (ITAT) qo‘llaniladigan sun’iy intellekt (SI) algoritmlarining diagnostika aniqligi va operatsion samaradorligi tahlil qilinadi. Tadqiqot davomida "Random Forest" va "Convolutional Neural Networks" (CNN) algoritmlarining kardiologik ma’lumotlarni qayta ishlashdagi natijalari an’anaviy usullar bilan solishtirildi.

Item Type: Article
Additional Information: Imported from International Conference on Interdisciplinary Science
SWORD Depositor: Admin User
Depositing User: Admin User
Date Deposited: 14 Oct 2026 21:09
Last Modified: 14 Oct 2026 21:09
URI: https://universalpublishings.uz/id/eprint/21478

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