DIAGNOSTIC CRITERIA AND A PROGNOSTIC MODEL FOR THE COURSE OF SOFT TISSUE NECROBIOTIC INFECTIONS IN DIABETES PATIENTS BASED ON ARTIFICIAL INTELLIGENCE

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Originally published in INTERNATIONAL CONFERENCE ON MEDICINE, SCIENCE, AND EDUCATION; Vol. 3 No. 1 (2026): INTERNATIONAL CONFERENCE ON MEDICINE, SCIENCE, AND EDUCATION; 85-89.

Alisherzhon, Bakhtiyorovich (2026) DIAGNOSTIC CRITERIA AND A PROGNOSTIC MODEL FOR THE COURSE OF SOFT TISSUE NECROBIOTIC INFECTIONS IN DIABETES PATIENTS BASED ON ARTIFICIAL INTELLIGENCE. INTERNATIONAL CONFERENCE ON MEDICINE, SCIENCE, AND EDUCATION; Vol. 3 No. 1 (2026): INTERNATIONAL CONFERENCE ON MEDICINE, SCIENCE, AND EDUCATION; 85-89.

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Abstract

Expanding the model using artificial intelligence technologies has transformed the scale into a dynamic system adaptable to the characteristics of each patient and based on a wide array of accumulated data.

Item Type: Article
Additional Information: Imported from International Conference on Medicine, Science, and Education
SWORD Depositor: Admin User
Depositing User: Admin User
Date Deposited: 26 Sep 2026 22:27
Last Modified: 26 Sep 2026 22:27
URI: https://universalpublishings.uz/id/eprint/12887

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