The application of cost-sensitive algorithm in the diagnosis of right ventricular failure by echocardiography
LI Jie1, LI Xiao-qing2, NIU Hui-min3, MA Lin1, SUN Yu-wei1
1. Department of Ultrasonography, North China University of Science and Technology Affiliated Hospital, Tangshan Hebei 063000, China;
2. Department of Ultrasound Medicine, KaiLuan General Hospital, Tangshan Hebei 063000, China;
3. Ultrasonography Department, Hebei General Hospital, Shijiazhuang 050057, China
Abstract：Objective: To improve the efficacy of echocardiographic method in evaluating right ventricular function, and to explore the value of cost-sensitive machine learning method model based on ultrasound parameters in the diagnosis of right ventricular failure. Methods: Eighty-two subjects with right heart failure(RHF group) and 106 subjects without right heart failure(non-RHF group) were enrolled in this study. Multi-echocardiographic indices were selected as features, including the right ventricular fractional area change(RVFAC), tricuspid annular plane systolic excursion(TAPSE), tricuspid flow peak velocity at early diastole(E), tricuspid annular peak systolic velocity(Sm) and peak early diastolic velocity(Em), Tei index, isovolumic acceleration(IVA) at tricuspid annular, and the diameter of the left ventricle, right ventricle, right atrium were measured and calculated. Cost-sensitive naive bayes analysis was used to build diagnosis model by using those parameters. The model was tested by 10-fold cross-validation. The diagnostic results of the cost-sensitive model and the classical naive bayes model were compared. Results: Compared with any single parameter, machine learning model can achieve better accuracy in diagnosis of right heart failure(91%). The cost-sensitive naive bayes method achieved a smaller overall cost. Conclusion: The diagnostic model established by machine learning is better than any single ultrasound parameter, which can reduce the diagnostic cost compared with conventional method. This method has potential practical value in screening of right ventricular failure by imaging.
李 劼1，李晓庆2，牛慧敏3，马 琳1，孙玉伟1. 代价敏感的算法在超声诊断右心衰竭中的应用[J]. 中国临床医学影像杂志, 2019, 30(2): 106-108.
LI Jie1, LI Xiao-qing2, NIU Hui-min3, MA Lin1, SUN Yu-wei1. The application of cost-sensitive algorithm in the diagnosis of right ventricular failure by echocardiography. JOURNAL OF CHINA MEDICAL IMAGING, 2019, 30(2): 106-108.
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