SYSTEM AND METHOD OF ANALYZING MYOCARDIAL INFORMATION WITH ECHOCARDIOGRAPHY DATA USING MULTI-INFORMATION BIG DATA ALGORITHM)

摘要

The present invention relates to an echocardiography-based myocardial information analysis system and method through a multi-information big data algorithm, and more particularly, to an echocardiography-based myocardial information analysis system through a multi-information big data algorithm, including echocardiography information, cardiac a data collection unit for collecting clinical information including imaging technique examination information, cardiac pathology and biopsy information, and genetic information; In order to understand the correlation between echocardiography information and other information (cardiac imaging technique test information, cardiac pathology and biopsy information, and clinical information including genetic information) among the information collected by the data collection unit, artificial a learning unit for learning an intelligent model; an input unit for receiving a patient's echocardiography resu and an operation unit for calculating analysis information on the myocardial tissue of the patient by using the artificial intelligence model learned by the learning unit when the result of the echocardiography examination is input from the input unit; It is characterized in its configuration to further include a prediction unit for predicting a change pattern of the myocardium according to the analysis information for the patient. According to the echocardiography-based myocardial information analysis system and method through the multi-information big data algorithm proposed in the present invention, echocardiography information, cardiac imaging technique examination information, heart pathology and biopsy information, and genetic information Comprehensive and accurate analysis of myocardial tissue only with echocardiography, the most basic test method, by collecting clinical information including clinical information and learning an artificial intelligence model to understand the correlation between echocardiography information and other information among the collected information. As this is possible, information on the heart can be simply and accurately checked, and the time and cost of the patient and the time and effort of the medical staff required for diagnosing heart disease can be reduced. In addition, according to the echocardiography-based myocardial information analysis system and method through the multi-information big data algorithm proposed in the present invention, the accuracy of myocardial analysis can be increased in the process of collecting and learning information by the system itself, so it is important to accumulate data. calculation accuracy of the system can be improved, and the input unit can select and input abnormal characteristics obtained from the patient's echocardiography results or input the echocardiography results in the form of images. It is possible. In addition, according to the echocardiography-based myocardial information analysis system and method through the multi-information big data algorithm proposed in the present invention, according to the analysis information on the myocardial tissue calculated by the operation unit, the change pattern of the myocardium is predicted or the myocardium By including a prediction unit that predicts the recovery potential of the patient, not only the patient's current heart condition, but also information about the possibility of developing heart-related diseases can be checked together, so that you can pay attention in advance to prevent the onset of sudden onset. It is possible to effectively prevent the risk of heart disease, and comprehensively judge the current condition and future predictions related to myocardium.