Early Prediction of Heart Anomalies Using Machine Learning

被引：0
|
作者：
Sophia, B. [1 ]
Sri, M. Nithiya [1 ]
Sarulatha, R. [1 ]
Shamsudin, Shahan [1 ]
机构：
[1] Sri Krishna Coll Engn & Technol, Dept Comp Sci & Engn, Coimbatore, Tamil Nadu, India
来源：
SOFT COMPUTING FOR SECURITY APPLICATIONS, ICSCS 2022 | 2023年 / 1428卷
关键词：
Monitor the disease; Prediction; Accuracy; Single technique; Feature classifier; Pre-processing; Machine learning;
D O I：
10.1007/978-981-19-3590-9_27
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Our goal is to build a web application that can prevent heart diseases. Heart Disease ranks as one of the leading causes of the deaths worldwide. To give an outcome as to when an individual will be in a gamble of having a coronary illness is dreary work and needs expertise yet, prevailing in that work will save heaps of lives. Detection/diagnosis of illness is one of the applications where information mining apparatuses are achieving victories all over the world. It involves Machine Learning Technique which helps in the identification of coronary illnesses. It has been thoroughly evaluated showing satisfactory degrees of precision. Human heartbeat elements have been exhibited to give promising markers of Congestive Heart Failure. The principle objective of this exploration paper is to foster an Intelligent System utilizing information analytics demonstrating method and Artificial Intelligence (AI), specifically support vector classifier to anticipate coronary illness with high accuracy.
引用
收藏
页码：353 / 365
页数：13
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