Through an in-depth analysis of deep learning and machine learning models in this study, it was discovered that certain variables, notably albumin levels and the type of locking solution used, play a pivotal role in predicting the risk of venous thrombosis associated with PICC. The gene discussed is ALB; the disease is Venous thrombosis.