Cardiovascular disease risk prediction and evaluation system combining electronic medical records and medical images

Abstract

The invention discloses a cardiovascular disease risk prediction and evaluation system combining electronic medical records and medical images, which comprises a data preprocessing module for associating a structured feature field of an electronic medical record with a structured information field of cardiac color Doppler ultrasound to construct new electronic medical record structured data; the prediction model optimization module is configured to perform stratified sampling on the new electronic medical record structured data, divide the sampled data into a selection training set and a testset, and perform training optimization on the established electronic medical record prediction model; and the prediction result fusion module is configured to fuse prediction results of the electronicmedical record prediction model and the heart color Doppler ultrasound prediction model to obtain a final cardiovascular disease risk prediction evaluation result. According to the method, the electronic medical record information and the medical image information of the heart color Doppler ultrasound are combined, the electronic medical record information and the image information of the heart color Doppler ultrasound of individuals can be fully mined and utilized, and the cardiovascular disease risk assessment has credibility.

Description

Technical field [0001] The invention belongs to the technical field of medical risk assessment, and particularly relates to a cardiovascular disease risk prediction and assessment system that combines electronic medical records and medical images. Background technique [0002] The statements in this section merely provide background information related to the present invention, and do not necessarily constitute prior art. [0003] Cardiovascular diseases seriously endanger people's physical and mental health, damage people's quality of life, threaten people's families, economy and even life safety. Therefore, the prevention, risk assessment, diagnosis and treatment of cardiovascular diseases are particularly important. [0004] At present, the clinical diagnosis of cardiovascular diseases mainly relies on angiography and computer tomography (CT). [0005] Coronary angiography is a common and effective method for diagnosing coronary atherosclerotic heart disease (coronary heart disease...

AI Technical Summary

Problems solved by technology

[0009] 1) The diagnostic examination of cardiovascular disease is blind to a certain extent, and there is no simple and convenient technology that can help people make a more accurate disease risk assessment

[0010] 2) The use of coronary angiography technology is an invasive examination method, which may cause the risk of complications and pose a potential threat to the human body; while the use of CTA technology and coronary angiography is expensive

[0011] 3) The risk assessment technology of the existing technology cannot directly give the diagnosis results of the disease. These inspection results can only be used as a reference for the clinical diagnosis of the disease. The clinician will conduct a comprehensive analysis based on the patient's condition, and then make a clear diagnosis

The diagnostic results of these technologies are relatively complicated, and even people with a certain medical background cannot make accurate judgments, and must re-interpret the diagnostic results. staff burden

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