Statistical and machine learning methodology for abdominal aortic aneurysm prediction from ultrasound screenings-Reference-Cited by-同舟云学术

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Statistical and machine learning methodology for abdominal aortic aneurysm prediction from ultrasound screenings

Published:2019-11 Issue:11 Volume:36 Page:1989-1996
ISSN:0742-2822
Container-title:Echocardiography
language:en
Short-container-title:Echocardiography

Author:

Kerut Edmund Kenneth¹²^ORCID,To Filip³,Summers Kelli L.⁴,Sheahan Claudie⁴,Sheahan Malachi⁴

Affiliation:

1. Division of Cardiovascular Diseases Department of Medicine LSU Health Sciences Center New Orleans Louisiana

2. Heart Clinic of Louisiana Marrero Louisiana

3. Department of Agricultural and Biological Engineering Bagley College of Engineering Mississippi State University Mississippi State Mississippi

4. Division of Vascular Surgery Department of Surgery LSU Health Sciences Center School of Medicine New Orleans Louisiana

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine,Radiology Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/echo.14519

Reference12 articles.

1. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes

2. Neural Networks: What Are They?

3. Machine Learning in Medicine

4. Machine Learning in Medicine: A Primer for Physicians

5. Some Studies in Machine Learning Using the Game of Checkers

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

2. Development and validation of a machine-learning prediction model to improve abdominal aortic aneurysm screening;Journal of Vascular Surgery;2024-04

3. Systematic Literature Review on Convolutional Neural Networks for Vascular Surgeries;International Journal of Online and Biomedical Engineering (iJOE);2022-09-14

4. Current state-of-the-art and utilities of machine learning for detection, monitoring, growth prediction, rupture risk assessment, and post-surgical management of abdominal aortic aneurysms;Applications in Engineering Science;2022-06

5. A Review of Artificial Intelligence Models in Prognosticating Abdominal Aorta Aneurysms;Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence;2022-04-01

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