Bioinformatics and Machine Learning–Based Identification of Critical Biomarkers and Immune Infiltration in Venous Thromboembolism

Abstract

Conclusion: Our research is the first to utilize machine learning techniques in identifying DLST and LSP1 as significant biomarkers of VTE. With our findings, we have uncovered new insights into the underlying causes of VTE and potential treatments for affected patients.