Develop an Intelligence Analysis Tool for Abdominal Aortic Aneurysm

Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 15)

Abstract

An Abdominal Aortic Aneurysm (AAA) is a focal dilatation at some point of the abdominal section of the aorta. In the absence of any treatment, AAA tends to grow until rupture. In this paper, we develop an Intelligence Analysis Tool to help researchers predict postoperative morbidity after AAA. The Tool includes an ensemble model, classification modules, model evaluation, and data visualization. The probabilities of complication calculated by the model of complications and a receiver operating characteristic (ROC) curve were used to evaluate the accuracy of postoperative morbidity prediction. The results show that the system proposed by this approach yields valuable qualitative and quantitative information for postoperative morbidity of Abdominal Aortic Aneurysm patients. Our System facilitates different types of users to access without to learn new data mining software.

Keywords

Support Vector Machine Abdominal Aortic Aneurysm Abdominal Aortic Aneurysm Ensemble Model Clinical Decision Support System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Information ManagementNational Taipei University of Nursing and Health SciencesTaipeiTaiwan, ROC
  2. 2.Department of Computer Science and Information EngineeringTamkang UniversityTamkangTaiwan, ROC

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