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

INTRODUCTION: Rehospitalization after kidney transplant is costly to patients and health care systems and is associated with poor outcomes. Few prediction model studies have examined whether inclusion of clinical notes data from the electronic medical record (EMR) enhances prediction of rehospitaliz...

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Detalles Bibliográficos
Autores principales: Arenson, Michael, Hogan, Julien, Xu, Liyan, Lynch, Raymond, Lee, Yi-Ting Hana, Choi, Jinho D., Sun, Jimeng, Adams, Andrew, Patzer, Rachel E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014371/
https://www.ncbi.nlm.nih.gov/pubmed/36938078
http://dx.doi.org/10.1016/j.ekir.2022.12.006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014371/
https://www.ncbi.nlm.nih.gov/pubmed/36938078
http://dx.doi.org/10.1016/j.ekir.2022.12.006

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