Heart Disease Prediction using Artificial Intelligence and Machine Learning
نویسندگان
چکیده
Heart-related medical conditions, often known as cardiovascular diseases (CVDs), have emerged the main cause for death worldwide over past several decades and are now recognized most serious conditions in both India rest entire world. This study focuses on development of a machine learning-based artificial intelligence system identification heart disease. Diagnose, risk stratification, management basically few critical thinking-intensive aspects treatment that been mechanized because (AI) data science, which has reduced strain doctors decreased possibility human error. Using primary clinical outcomes each CHD (Congenital defects) right computational algorithms, stratification well prediction results feasible. Cardiovascular (CVDs) significant economic burden healthcare systems all world associated with high morbidity mortality. In United States, adults had prevalence 7.2% coronary artery disease, is one disease category included under CVDs umbrella. years 2016–2017, this entity damaged States economy 360 billion US dollars. The domain medicine expanded new directions learning two decades. It will be highly beneficial to if we able predict cardiac arrest early stages. A quick effective detection method must developed order decrease enormous number deaths caused by diseases. increase model's ability predicting every individual, an approach was utilized control how it can used. Keywords: Artificial intelligence, Pediatric surgeries, Heart system, diseases, Coronary Congenital defects
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ژورنال
عنوان ژورنال: International Journal of Preclinical and Clinical Research
سال: 2023
ISSN: ['2583-0104']
DOI: https://doi.org/10.51131/ijpccr/v4i2.23.11