Predicting Kidney Transplant Recipient Cohorts’ 30-Day Rehospitalization Using Clinical Notes and Electronic Health Care Record Data-Reference-Cited by-同舟云学术

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Predicting Kidney Transplant Recipient Cohorts’ 30-Day Rehospitalization Using Clinical Notes and Electronic Health Care Record Data

Published:2023-03 Issue:3 Volume:8 Page:489-498
ISSN:2468-0249
Container-title:Kidney International Reports
language:en
Short-container-title:Kidney International Reports

Author:

Arenson Michael,Hogan Julien,Xu Liyan,Lynch Raymond,Lee Yi-Ting Hana,Choi Jinho D.,Sun Jimeng,Adams Andrew,Patzer Rachel E.

Funder

National Institute on Minority Health and Health Disparities

National Institutes of Health

National Center for Advancing Translational Sciences

Publisher

Elsevier BV

Subject

Nephrology

Reference29 articles.

1. First-year waitlist hospitalization and subsequent waitlist and transplant outcome;Lynch;Am J Transplant,2017

2. Waitlist hospital admissions predict resource utilization and survival after renal transplantation;Lynch;Ann Surg,2016

3. Racial and gender differences in quality of life following kidney transplantation;Johnson;Image J Nurs Sch,1998

4. Reducing hospital readmission rates: current strategies and future directions;Kripalani;Annu Rev Med,2014

5. Early hospital readmission after kidney transplantation: patient and center-level associations;McAdams-Demarco;Am J Transpl,2012

Cited by 1 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. Revolutionizing Kidney Transplantation: Connecting Machine Learning and Artificial Intelligence with Next-Generation Healthcare—From Algorithms to Allografts;BioMedInformatics;2024-03-01

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