Hybrid decision support system for endovascular aortic aneurysm repair follow-up
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743, Vol: 6076 LNAI, Issue: PART 1, Page: 500-507
2010
- 9Citations
- 8Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Conference Paper Description
An Abdominal Aortic Aneurysm is an abnormal widening of the aortic vessel at abdominal level, and is usually diagnosed on the basis of radiological images. One of the techniques for Abdominal Aortic Aneurysm repair is Endovascular Repair. The long-term outcome of this surgery is usually difficult to predict in the absence of clearly visible signs, such as leaks, in the images. In this paper, we present a hybrid system that combines data extracted from radiological images and data extracted from the Electronic Patient Record in order to assess the evolution of the aneurysm after the intervention. The results show that the system proposed by this approach yields valuable qualitative and quantitative information for follow-up of Abdominal Aortic Aneurysm patients after Endovascular Repair. © 2010 Springer-Verlag.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=77954600695&origin=inward; http://dx.doi.org/10.1007/978-3-642-13769-3_61; http://link.springer.com/10.1007/978-3-642-13769-3_61; http://link.springer.com/content/pdf/10.1007/978-3-642-13769-3_61; https://dx.doi.org/10.1007/978-3-642-13769-3_61; https://link.springer.com/chapter/10.1007/978-3-642-13769-3_61
Springer Science and Business Media LLC
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