Clinical Characteristics of Patients with Pulmonary Thromboembolism Based on Computer Statistical Analysis

Abstract

In order to explore the reliable clinical characteristics of patients with pulmonary thromboembolism, this paper applies computer statistical analysis methods to the analysis of clinical characteristics of patients with pulmonary thromboembolism. Moreover, starting from the actual situation, this paper combines experiments to study the case, uses sample screening and sample processing to group samples freely, and conducts grouping reliability research through data statistics methods. After verifying the reliability of the grouping, this paper combines the samples to test the effectiveness of the computer statistical analysis method applied to the clinical characteristic analysis of patients with pulmonary thromboembolism and conducts numerical analysis in combination with the comparative analysis method. The results of the research show that the computer statistical method proposed in this paper has a good effect on the clinical characteristics of patients with pulmonary thromboembolism and meets the actual needs of clinical analysis.

LncRNA NEAT1 Promotes Vascular Endothelial Cell Dysfunction via miR-218-5p/GAB2 and Serves as a Diagnostic Biomarker for Deep Vein Thrombosis

“…However, when endothelial cell damage or apoptosis impairscells damage or apoptosis impairs their normal anticoagulant effect, promoting thrombosis, and affecting intravascular reactive substance levels to aggravate thrombosis. 3 , 29 The importance of vascular endothelial cells necessitates investigation into mechanisms in vitro. Mechanistically, we found that NEAT1 significantly inhibited HUVECs proliferation and migration while increasing apoptosis.…”