A Simple and Quick Screening Method for Intrapulmonary Vascular Dilation in Cirrhotic Patients Based on Machine Learning.

Yu-Jie Li Kun-Hua Zhong Xue-Hong Bai Xi Tang Peng Li Zhi-Yong Yang Hong-Yu ZhiXiao-Jun LiYang Chen Peng DengXiao-Lin QinJian-Teng GuJiao-Lin NingKai-Zhi LuJu ZhangZheng-Yuan Xia Yu-Wen Chen Bin Yi

Published in: Journal of clinical and translational hepatology (2021)

We developed a two-step model based on ML using noninvasive variables and ABG results to screen for the presence of IPVD in cirrhotic patients. This model may partly solve the problem of limited access to CEE and ABG by a large numbers of cirrhotic patients.

Keyphrases

end stage renal disease
machine learning
newly diagnosed
ejection fraction
chronic kidney disease
prognostic factors
peritoneal dialysis
patient reported