Smart Healthcare System

Abstract – According to reports, heart disease, a subtype of cardiovascular disease (CVD), is the leading cause of death worldwide at the moment, according to the World Health Organisation (WHO). Over the past few decades, heart disease has been rightly referred to as a ‘quiet killer’ since it silently takes its toll, often remaining unnoticed until it is too late. In that time, many researchers have applied several machine leraning and data mining techniques to help healthcare professionals team to diagnose heart-related diseases. This research paper is deals with an overview of heart disease prediction using Key words: - heart disease, machine learning, CVD, WHO, heart disease prediction

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-24
DOI
https://doi.org/10.55041/ijsrem48331
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Healthcare System

V. Kumar Chinnaiyan
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Internet of Things and AI
article

Smart Healthcare System

V. Kumar Chinnaiyan
article en

Abstract

Abstract – According to reports, heart disease, a subtype of cardiovascular disease (CVD), is the leading cause of death worldwide at the moment, according to the World Health Organisation (WHO). Over the past few decades, heart disease has been rightly referred to as a ‘quiet killer’ since it silently takes its toll, often remaining unnoticed until it is too late. In that time, many researchers have applied several machine leraning and data mining techniques to help healthcare professionals team to diagnose heart-related diseases. This research paper is deals with an overview of heart disease prediction using Key words: - heart disease, machine learning, CVD, WHO, heart disease prediction

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Galgotias University (IN)
Openalex Percentile: Top 84%
Internet of Things and AI
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