Early Diagnosis of Heart Disease Via Google’s Auto ML

نویسندگان

چکیده

Coronary heart disease is a leading cause of death around the world. Early and accurate detection this vital to reducing complications preventing failure attacks. This project creates an early-level diagnosis method that analyzes sound audio detect characterize anomalies including murmurs, arrhythmias, extra sounds. The dataset was obtained from Peter Bently’s Classifying Heart Sounds Database. used train machine learning algorithm in Google’s AutoML Vision could distinguish between normal sounds, final model has average precision 0.929, thus providing results. product can be as cheap, accessible, non-invasive for early cardiovascular diseases.

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ژورنال

عنوان ژورنال: Journal of Student Research

سال: 2022

ISSN: ['2167-1907']

DOI: https://doi.org/10.47611/jsrhs.v11i4.3240