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Open access Sep 2026

Clinical Value of Machine Learning Model Based on Non-Invasive Myocardial Work Parameters and Glycolipid Metabolism Indicators for the Early Diagnosis of Coronary Heart Disease

Objective This study aims to explore the clinical value of machine learning models constructed by combining non-invasive Myocardial Work (MW) parameters and clinical glycolipid metabolism indicators for the early diagnosis of coronary heart disease (CHD). Methods A total of 183 suspected CHD patients scheduled for coro...

Cong Luo, Jiao-Quan Wei · 0 citations
Open access 2026

The value of non-invasive myocardial work parameters combined with cardiac multi-dimensional parameters in predicting the risk of coronary heart disease

: To investigate the application value of a comprehensive model integrating non-invasive myocardial work (MW) parameters and multi-dimensional cardiac parameters in risk prediction and early screening of coronary heart disease (CHD) , a prospective study was conducted involving 141 patients with CHD. Patients were divi...

Cong Luo, Jiao-Quan Wei · 0 citations

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