A fuzzy evaluation matrix method in early warning and classification of cardiovascular diseases

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Authors: Miao Yu, Shuwei Yang, Yi Lu, Runxin Zeng, Chenxuan Han
Cited by: 0
References: 8

Abstract

Cardiovascular disease is one of the important diseases affecting human life and health, and the effective prediction and classification of cardiovascular diseases through the development of medical informatization can reduce the diagnosis and treatment time and misdiagnosis rate of doctors, better serve patients with cardiovascular diseases, and help reduce patients' expenses and improve patients'medical efficiency. Our comprehensive diagnosis and treatment system has made breakthroughs in the prediction of cardiovascular diseases, the noise reduction of ECG signal, and the classification of arrhythmias, which can better serve the cardiovascular diseases and provide help for patients with cardiovascular diseases.

Fields of Study & Subjects

Artificial Intelligence in Healthcare ECG Monitoring and Analysis Research studies in Vietnam

Publication details

Journal / source
Computer Methods in Biomechanics & Biomedical Engineering
Pages
1–14
Publication date
16 February 2026
Language
EN