Heart disease risk prediction system

Abstract

The invention discloses a heart disease risk prediction system, comprising a computer vision pipeline for processing cardiac ultrasound, wherein the computer vision pipeline for processing cardiac ultrasound comprises a view identification classification, a U-Net convolution neural network for cardiac structure identification, cardiac muscle shape tracking, cardiac muscle shape feature vector extraction, electrocardiogram feature data extraction, clinical feature data extraction, depth learning network architecture and data acquisition and training to predict the probability; Through artificial intelligence to assist automatic ultrasound image recognition and diagnosis, Multidimensional myocardial speckle tracking and prediction of ischemic heart failure were calculated, The combination of medical history, clinical data and biomarkers realizes disease prediction on the machine learning platform, and establishes the first artificial intelligence-assisted accurate, sensitive, efficient,automated and scalable cardiovascular screening system, which realizes low-cost, high-accuracy heart disease prediction and early diagnosis system.

Description

technical field [0001] The present invention relates to a heart disease risk prediction system, in particular to an artificial intelligence method to automatically analyze the possibility of heart disease from non-invasive examination data such as ultrasound images and electrocardiograms, thereby realizing non-invasive, low-cost, and high-precision heart disease risk prediction. Background technique [0002] Vascular disease is the number one killer of all diseases in China. With the development of economy and the improvement of people's living standards, the incidence of cardiovascular disease is also increasing, which is the biggest threat to the health of the whole people. Although the fatality rate of cardiovascular disease is high, it is also highly preventable and curable. The key is early heart disease diagnosis, screening and prediction. Accurate diagnosis, screening and prediction enable timely prevention and are decisive strategies for the health of the whole pop...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the risk score in the prior art that the prediction and early diagnosis of cardiovascular disease are limited to the limited known medical history and do not integrate more important cardiac images, biomarkers and other important clinical information, so Low accuracy, poor sensitivity, unable to achieve the purpose of disease prediction and early diagnosis, providing a heart disease risk prediction system

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