Incorporating intraoperative blood pressure time-series variables to assist in prediction of acute kidney injury after type a acute aortic dissection repair: an interpretable machine learning model

BACKGROUND: Acute kidney injury (AKI) is a common and serious complication after the repair of Type A acute aortic dissection (TA-AAD). However, previous models have failed to account for the impact of blood pressure fluctuations on predictive performance. This study aims to develop machine learning...

Descripción completa

Detalles Bibliográficos
Autores principales: Dai, Anran, Zhou, Zhou, Jiang, Fan, Guo, Yaoyi, Asante, Dorothy O., Feng, Yue, Huang, Kaizong, Chen, Chen, Shi, Hongwei, Si, Yanna, Zou, Jianjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Cardiology & Cardiovascular Disorders
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563625/
https://www.ncbi.nlm.nih.gov/pubmed/37813109
http://dx.doi.org/10.1080/07853890.2023.2266458

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563625/
https://www.ncbi.nlm.nih.gov/pubmed/37813109
http://dx.doi.org/10.1080/07853890.2023.2266458

Ejemplares similares