Diagnosis and management of arrhythmia using machine learning

被引:0
作者
Pratyaksha, S. [1 ]
Chayadevi, M. L. [1 ]
机构
[1] BNM Inst Technol, Dept Comp Sci & Engn, Bangalore, Karnataka, India
关键词
medical imaging; machine learning; arrhythmia diagnosis; KNN; SVM; random forest; decision tree;
D O I
10.1504/IJCAT.2023.133039
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Cardiac arrhythmia refers to a variety of heart rhythm disorders in which the heartbeat is irregular, rapid or sluggish. Arrhythmias come in a variety of forms, some of which have no symptoms. When symptoms are present, palpitations or a sense of a pause between heartbeats may be noticeable. In more extreme instances, light-headedness, fainting, shortness of breath, or chest discomfort may develop. While most arrhythmias are harmless, some can cause serious complications such as stroke or heart failure. Others might lead to cardiac arrest. Arrhythmia affects millions of individuals throughout the world. Nearly half of all deaths due by cardiovascular disease, or roughly 15% of all deaths globally, are caused by sudden cardiac death. Ventricular arrhythmias account for approximately 80% of sudden cardiac death. Arrhythmias can affect people of any age, although they are more frequent as they get older.
引用
收藏
页码:125 / 130
页数:7
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