Machine learning approaches for risk assessment of peripherally inserted Central catheter-related vein thrombosis in hospitalized patients with cancer-Reference-Cited by-同舟云学术

Machine learning approaches for risk assessment of peripherally inserted Central catheter-related vein thrombosis in hospitalized patients with cancer

Published:2019-09 Issue: Volume:129 Page:175-183
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Liu Shanshan,Zhang Fengyi,Xie Lingling,Wang Ying,Xiang Qiufen,Yue Zhiying,Feng Yue,Yang Yanmeng,Li Junying,Luo Li,Yu Chunhua

Funder

National Natural Science Foundation of China

Science and Technology Department of Sichuan Province

Publisher

Elsevier BV

Subject

Health Informatics

Reference49 articles.

1. Risk factors for upper extremity venous thrombosis associated with peripherally inserted central venous catheters;Marnejon;J. Vasc. Access,2012

2. Bloodstream infection, venous thrombosis, and peripherally inserted central catheters: reappraising the evidence;Chopra;Am. J. Med.,2012

3. A systematic review of patient-related risk factors for catheter-related thrombosis;Leung;J. Thromb. Thrombolysis,2015

4. Diagnosis and management of upper extremity deep-vein thrombosis in adults;Grant;Thrombosis & Haemostasis,2012

5. Catheter-related right atrial thrombus and pulmonary embolism: a case report and systematic review of the literature;Burns;Canadian Resp. J., J. Canadian Thoracic Soc.,2016

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Genetic factors, risk prediction and AI application of thrombotic diseases;Experimental Hematology & Oncology;2024-08-27

2. Machine Learning Predicts Peripherally Inserted Central Catheters-Related Deep Vein Thrombosis Using Patient Features and Catheterization Technology Features;Clinical Nursing Research;2024-07

3. Machine learning in cancer-associated thrombosis: hype or hope in untangling the clot;Bleeding, Thrombosis and Vascular Biology;2024-05-16

4. Machine Learning as a Diagnostic and Prognostic Tool for Predicting Thrombosis in Cancer Patients: A Systematic Review;Seminars in Thrombosis and Hemostasis;2024-04-11

5. Comparison of different machine learning classification models for predicting deep vein thrombosis in lower extremity fractures;Scientific Reports;2024-03-22