Authors

S.Nagaraju

Department of Computer Science Engineering (Artificial Intelligence), Gates Institute of Technology, Gooty, Andhra Pradesh, India

Yekkala Keerthana

Department of Computer Science Engineering (Artificial Intelligence), Gates Institute of Technology, Gooty, Andhra Pradesh, India

C.Geetha

Department of Computer Science Engineering (Artificial Intelligence), Gates Institute of Technology, Gooty, Andhra Pradesh, India

Telkar Bhoomika Sonali

Department of Computer Science Engineering (Artificial Intelligence), Gates Institute of Technology, Gooty, Andhra Pradesh, India

Kandimalla Jayanth

Department of Computer Science Engineering (Artificial Intelligence), Gates Institute of Technology, Gooty, Andhra Pradesh, India

Pyapili Janvesli

Department of Computer Science Engineering (Artificial Intelligence), Gates Institute of Technology, Gooty, Andhra Pradesh, India

Sasarla Jeevan Kumar

Department of Computer Science Engineering (Artificial Intelligence), Gates Institute of Technology, Gooty, Andhra Pradesh, India

P.Naveen

Department of Computer Science Engineering (Artificial Intelligence), Gates Institute of Technology, Gooty, Andhra Pradesh, India

Abstract

Cardio Vascular Disease (CVD) is the most well-known perilous infection around the world the greater part of the populaces bites the dust every year from Cardio Vascular Disease (CVD) than from some other ailment. A degree of 17.9 million individuals passed on from Cardio Vascular Disease (CVD) in, thinking about 31% of every single worldwide demise. Of these deaths, 85% are because of heart stroke and heart failure. More than three-fourths of CVD deaths occur in dejected yield nations. Out of the 17 million less than ideal closures (younger than 70) due to noninfectious maladies in 2015, 82% are in discouraging yield nations and 37% are brought about via Cardio Vascular Disease (CVD). All most Cardio Vascular Disease (CVD) can be killed by tending to discernible hazard factors, for example, tobacco use, undesirable eating routine and heftiness, physical dormancy and destructive utilization of liquor utilizing populace wide situations. Individuals with Cardio Vascular Disease (CVD) or who are at high cardiovascular hazards (because of the nearness of at least one hazard factor, for example, hypertension, diabetes, hyperlipidemia or effectively settled sickness) need an early introduction and directorate utilizing brief prescriptions, as set apart. All in all, Cardio Vascular Disease (CVD) is winded up with a development of greasy stores inside the conduits (atherosclerosis) a development of blood clusters. It can likewise be related to harm to courses in organs, for example, the mind, heart, kidneys, and eyes. CVD is one of the fundamental drivers of death and incapacity in the UK, however, it can regularly to a great extent be avoided by driving a solid way of life. Coronary episodes and strokes are typically brought about by intense occasions and are for the most part brought about by a blockage that averts bloodstream to the heart or mind. The most widely recognized purpose behind this is the development of greasy stores most inward dividers of veins. The reason for cardiovascular failures and strokes is generally the nearness of a blend of hazard factors, for example, tobacco use, unfortunate eating regimen, and heftiness.

Keywords

ML Prediction Cardiovascular Disease Cardio Vascular Disease CVD

Citation of this Article

S.Nagaraju, Yekkala Keerthana, C.Geetha, Telkar Bhoomika Sonali, Kandimalla Jayanth, Pyapili Janvesli, Sasarla Jeevan Kumar, & P.Naveen. (2025). ML-Based Prediction of Cardiovascular Disease. International Current Journal of Engineering and Science - ICJES, 4(2), 18-23. Article DOI: https://doi.org/10.47001/ICJES/2025.402004

Licence Copyright (c) 2026 International Current Journal of Engineering and Science. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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