Ilim ha’m ja’miyet № 5-1 (2026) · Саҳифаҳои 27-29
AI-BASED CARDIOVASCULAR DISEASE RISK ASSESSMENT IN CARDIOAI-DSS
Saytov, Kamiljan Begdullaevich, Bekniyazova, Nurjamal Danaevna, Xudaynazarova, Malika Orinbaevna, Сайтов, Камилжан Бегдуллаевич, Бекниязова, Нуржамал Данаевна, Худайназарова, Малика Оринбаевна, Saytov, Kamiljan Begdullaevich, Bekniyazova, Nurjamal Danaevna, Xudaynazarova, Malika Orinbaevna
Аннотатсия
The article presents CardioAI-DSS for cardiovascular disease risk assessment. The system applies machine learning and CNN models to clinical data, Cardiovascular Disease datasets, and ECG signals. The models were evaluated using Accuracy, Precision, Recall, F1-score, AUC, confusion matrix, and SHAP explanations. The software supports preliminary risk assessment and does not replace physician diagnosis.
sun’iy intellektyurak-qon tomir kasalliklariqaror qabul qilishni qo‘llab-quvvatlash tizimiCNNECGSHAPmashinali o‘qitishискусственный интеллектсердечно-сосудистые заболеваниясистема поддержки принятия решений
Манбаи метамаълумот: бойгонии OAI-PMH-и маҷалла · Sindex матни пурраро нигоҳ намедорад, ба манбаъ пайванд медиҳад.