Method for establishing bleeding risk predicting model of acute coronary syndrome after interventional therapy
A technology for coronary syndrome and interventional therapy, applied in computational models, medical simulations, computer-aided medical procedures, etc., can solve problems such as overestimation of bleeding, and achieve the effect of facilitating observation and reducing the incidence of bleeding
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[0018] In order to further understand the content, features and effects of the present invention, the following examples are given, and detailed descriptions are given below with reference to the accompanying drawings.
[0019] Please refer to figure 1 , the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0020] refer to figure 1 As shown, the method for establishing a bleeding risk prediction model for acute coronary syndrome after interventional therapy includes the following steps:
[0021] S1. Collect data from the hospital electronic medical record system;
[0022] S2. Screen patients with acute coronary syndrome undergoing percutaneous coronary intervention, and extract required patient information;
[0023] S3. Apply machine learning methods to establish a prediction model for short-term and long-term bleeding risks of patients after surgery;
[0024] S4. Evaluate the prediction value of each mo...
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