ISSN: 2379-1764
Department of Information Technology, Galgotias College of Engineering and Technology, Uttar Pradesh, India
Research Article
Effective Heart Disease Detection Using Machine Learning Techniques
Author(s): Kashish Agarwal*, Ayush Singh and Hrithik Maheshwari
According to World Health Organization (WHO) Heart diseases are the major cause of death all across the globe,
estimating about 17.9 million lives (32% of overall deaths) each year. This group of disorder includes coronary heart
disease, cerebrovascular disease, rheumatic heart disease and other conditions. The most of the daily activity
behavioural risk factors of heart disease and stroke includes unbalanced diet, physical inactivity, inertness,
consumption of tobacco and alcohol. These risk factors may show up among people as raised blood pressure, raised
blood sugar level, raised blood lipids and obesity. These intermediate risks factors can be measured in primary care
facilities and helps in indicating increased risk of heart complications such as heart attack, stroke, heart failure.
As a traditional method, detection of disease is done by a doctor based.. View More»
DOI:
10.35248/2379-1764.23.11.406