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

文献类型：期刊论文

作者Li, Yu-Jie1; Tang, Xi2,3,4; Li, Peng1; Yang, Zhi-Yong1; Zhi, Hong-Yu1; Li, Xiao-Jun1; Chen, Yang1; Deng, Peng1; Qin, Xiao-Lin2,3; Gu, Jian-Teng1
刊名JOURNAL OF CLINICAL AND TRANSLATIONAL HEPATOLOGY
出版日期2021-04-29
页码8
ISSN号2225-0719
关键词Hepatopulmonary syndrome Intrapulmonary vascular dilation Cirrhosis Screening Machine learning
DOI10.14218/JCTH.2020.00184
通讯作者Chen, Yu-Wen(chenyuwen@cigit.ac.cn) ; Yi, Bin(yibin1974@163.com)
英文摘要Background and Aims: Screening for hepatopulmonary syndrome in cirrhotic patients is limited due to the need to perform contrast enhanced echocardiography (CEE) and arterial blood gas (ABG) analysis. We aimed to develop a simple and quick method to screen for the presence of in-trapulmonary vascular dilation (IPVD) using noninvasive and easily available variables with machine learning (ML) algorithms. Methods: Cirrhotic patients were enrolled from our hospital. All eligible patients underwent CEE, ABG analysis and physical examination. We developed a two-step model based on three ML algorithms, namely, adap-tive boosting (termed AdaBoost), gradient boosting deci-sion tree (termed GBDT) and eXtreme gradient boosting (termed Xgboost). Noninvasive variables were input in the first step (the NI model), and for the second step (the NIBG model), a combination of noninvasive variables and ABG re-sults were used. Model performance was determined by the area under the curve of receiver operating characteristics (AUCROCs), precision, recall, F1-score and accuracy. Re-sults: A total of 193 cirrhotic patients were ultimately ana-lyzed. The AUCROCs of the NI and NIBG models were 0.850
资助项目National Key R&D Program of China[2018YFC0116702] ; National Natural Science Foundation of China[82070630] ; National Natural Science Foundation of China[81600035] ; Medical Innovation Capacity Improvement Program for Medical Staff of the First Affiliated Hospital of the Third Military Medical University[SWH2018QNKJ-27] ; Technology Innovation and Application Research and Development Project of Chongqing City[cstc2019jscx-msxmX0237]
WOS研究方向Gastroenterology & Hepatology
语种英语
出版者XIA & HE PUBLISHING INC
WOS记录号WOS:000702908100001
源URL[http://119.78.100.138/handle/2HOD01W0/14135]  
专题中国科学院重庆绿色智能技术研究院
通讯作者Chen, Yu-Wen; Yi, Bin
作者单位1.Army Med Univ, Southwest Hosp, Dept Anaesthesiol, Affiliated Hosp 1,Mil Med Univ 3, Chongqing 400038, Peoples R China
2.Chinese Acad Sci, Chengdu Inst Comp Applicat, Chengdu, Sichuan, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China
5.Univ Hong Kong, Li Ka Shing Fac Med, Dept Anaesthesiol, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714		 Li, Yu-Jie,Tang, Xi,Li, Peng,et al. A Simple and Quick Screening Method for Intrapulmonary Vascular Dilation in Cirrhotic Patients Based on Machine Learning[J]. JOURNAL OF CLINICAL AND TRANSLATIONAL HEPATOLOGY,2021:8.
APA Li, Yu-Jie.,Tang, Xi.,Li, Peng.,Yang, Zhi-Yong.,Zhi, Hong-Yu.,...&Yi, Bin.(2021).A Simple and Quick Screening Method for Intrapulmonary Vascular Dilation in Cirrhotic Patients Based on Machine Learning.JOURNAL OF CLINICAL AND TRANSLATIONAL HEPATOLOGY,8.
MLA Li, Yu-Jie,et al."A Simple and Quick Screening Method for Intrapulmonary Vascular Dilation in Cirrhotic Patients Based on Machine Learning".JOURNAL OF CLINICAL AND TRANSLATIONAL HEPATOLOGY (2021):8.

入库方式： OAI收割

来源：重庆绿色智能技术研究院

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