Models to predict length of stay in the Intensive Care Unit after coronary artery bypass grafting: a systematic review-Reference-Cited by-同舟云学术

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Models to predict length of stay in the Intensive Care Unit after coronary artery bypass grafting: a systematic review

Published:2018-04 Issue:3 Volume:59 Page:
ISSN:0021-9509
Container-title:The Journal of Cardiovascular Surgery
language:
Short-container-title:J Cardiovasc Surg

Author:

Atashi Alireza,Verburg Ilona W.,Karim Hesam,Miri Mirmohammad,Abu-Hanna Ameen,de Jonge Evert,de Keizer Nicolette F.,Eslami Saeid

Publisher

Edizioni Minerva Medica

Subject

Cardiology and Cardiovascular Medicine,General Medicine,Surgery

Link

https://www.minervamedica.it/pdf.php?cod=R37Y2018N03A0471

Cited by 10 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. Predictors of length of hospital stay after pediatric Ebstein anomaly corrective surgery: a retrospective cohort study;BMC Pediatrics;2024-08-10

2. LoSNet: A Tailored Deep Neural Network Framework for Precise Length of Stay Prediction in Disease-Specific Hospitalization;Procedia Computer Science;2024

3. Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients;Journal of Biomedical Informatics;2022-11

4. A novel nomogram for predicting 3-year mortality in critically ill patients after coronary artery bypass grafting;BMC Surgery;2021-11-30

5. Forecasting the length-of-stay of pediatric patients in hospitals: a scoping review;BMC Health Services Research;2021-09-08

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