kankan hao1,2, yanjie zhu1,2, dong liang1,2, shihua zhao3, xin liu1,2, and hairong zheng1,2
1Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, beijing, China
1Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, beijing, China
We verify a non linear relationship between the CMR risk factor and cardiovascular event and find compared with the cox regreesion model, the ML model have better performance for predicting cardiovascular event.
Figure show the ROC for the ML model and cox
regression model with a random sample of 80:20. Table show the result of ML model and cox regression model in 5 fold cross validation. C-statistic will be used to evaluate the result of our model in the table.
table show the non-linear test for strain index. It is clear that there are a non linear relationship of 3D Systolic Apical long Strain.