Performance of the LACE index to predict 30-day hospital readmissions in patients with chronic obstructive pulmonary disease-Reference-Cited by-同舟云学术

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Performance of the LACE index to predict 30-day hospital readmissions in patients with chronic obstructive pulmonary disease

Published:2017-12 Issue: Volume:Volume 10 Page:51-59
ISSN:1179-1349
Container-title:Clinical Epidemiology
language:en
Short-container-title:CLEP

Author:

Hakim Maryam A^ORCID,Garden Frances^ORCID,Jennings Matthew^ORCID,Dobler Claudia^ORCID

Publisher

Informa UK Limited

Subject

Epidemiology

Cited by 59 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. Predicting 1 year readmission for heart failure: A comparative study of machine learning and the LACE index;ESC Heart Failure;2024-05-22

2. Development and validation of a prospective study to predict the risk of readmission within 365 days of respiratory failure: based on a random survival forest algorithm combined with COX regression modeling;BMC Pulmonary Medicine;2024-02-14

3. A Comprehensive Review on the Application of Artificial Intelligence in Chronic Obstructive Pulmonary Disease (COPD) Management;2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM);2024-01-03

4. Heart Failure Emergency Readmission Prediction Using Stacking Machine Learning Model;Diagnostics;2023-06-02

5. Risk Factors of Readmission Within 90 Days for Chronic Obstructive Pulmonary Disease Patients with Frailty and Construction of an Early Warning Model;International Journal of Chronic Obstructive Pulmonary Disease;2023-05

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