Interpretable machine learning models for predicting venous thromboembolism in the intensive care unit: an analysis based on data from 207 centers
Venous thromboembolism (VTE) is a severe complication in critically ill patients, often resulting in death and long-term disability and is one of the major contributors to the global burden of disease. This st...
Source: Critical Care - Category: Intensive Care Authors: Chengfu Guan, Fuxin Ma, Sijie Chang and Jinhua Zhang Tags: Research Source Type: research