Artificial Neural Networks Predict Mortality After Lung Transplantation Better Than Logistic Regression-Reference-Cited by-同舟云学术

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Artificial Neural Networks Predict Mortality After Lung Transplantation Better Than Logistic Regression

Published:2009-11 Issue:11 Volume:28 Page:1237-1238
ISSN:1053-2498
Container-title:The Journal of Heart and Lung Transplantation
language:en
Short-container-title:The Journal of Heart and Lung Transplantation

Author:

Llorca Javier,Dierssen-Sotos Trinidad,Gómez-Acebo Inés,Gonzalez-Castro Alejandro,Miñambres Eduardo

Publisher

Elsevier BV

Subject

Transplantation,Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,Surgery

Reference5 articles.

1. Prediction of significant fibrosis in hepatitis C virus infected liver transplant recipients by artificial neural network analysis of clinical factors;Piscaglia;Eur J Gastroenterol Hepatol,2006

2. Artificial neural network and tissue genotyping of hepatocellular carcinoma in liver-transplant recipients: prediction of recurrence;Rodriguez-Luna;Transplantation,2005

3. Prediction of delayed renal allograft function using an artificial neural network;Brier;Nephrol Dial Transplant,2003

4. Predictive non-linear modeling of complex data by artificial neural networks;Almeida;Curr Opin Biotechnol,2002

5. Effect of ischemic time on survival in clinical lung transplantation;Gammie;Ann Thorac Surg,1999

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1. Machine learning-based prediction of abdominal aortic aneurysms for individualized patient care;Journal of Vascular Surgery;2024-05

2. Machine learning in liver transplantation: a tool for some unsolved questions?;Transplant International;2021-02-04

3. Predicting postoperative facial swelling following impacted mandibular third molars extraction by using artificial neural networks evaluation;Scientific Reports;2018-08-16

4. Using machine learning methods for predicting inhospital mortality in patients undergoing open repair of abdominal aortic aneurysm;Journal of Biomedical Informatics;2016-08

5. Comparison of Artificial Neural Networks with Logistic Regression for Detection of Obesity;Journal of Medical Systems;2011-05-10

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