CARDIOAI-DSS DASTURIY TIZIMIDA YURAK-QON TOMIR KASALLIKLARI XAVFINI SUN’IY INTELLEKT ASOSIDA BAHOLASh

Mualliflar

  • Saytov Kamiljan Begdullaevich

    Nukus davlat texnika universiteti

  • Bekniyazova Nurjamal Danaevna

    Nukus davlat texnika universiteti

  • Xudaynazarova Malika Orinbaevna

    Nukus davlat texnika universiteti

Kalit soʻzlar: sun’iy intellekt, yurak-qon tomir kasalliklari, qaror qabul qilishni qo‘llab-quvvatlash tizimi, CNN, ECG, SHAP, mashinali o‘qitish

Annotatsiya

Maqolada yurak-qon tomir kasalliklari xavfini baholashga mo‘ljallangan CardioAI-DSS dasturiy tizimi bayon qilinadi. Tizim klinik ma’lumotlar, Cardiovascular Disease datasetlari va ECG signallarini tahlil qilish uchun klassik mashinali o‘qitish hamda CNN modellaridan foydalanadi. Natijalar Accuracy, Precision, Recall, F1-score, AUC, confusion matrix va SHAP izohi orqali baholandi. Dastur shifokor tashxisini almashtirmaydi, balki dastlabki riskni baholashda yordamchi vosita sifatida qaraladi.

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