Lexical analysis and stoplists
Information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A bootstrapping approach to unsupervised detection of cue phrase variants
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Analysis of mammography reports using maximum variation sampling
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
A genetic algorithm for learning significant phrase patterns in radiology reports
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
| Hi-index | 0.00 |
An abdominal aortic aneurysm is a problem in which the wall of the artery that supplies blood to the abdomen and lower extremities expands under pressure or balloons outward. Patients must undergo surgery to repair such an aneurysm, and there is currently no known indicator of long-term success or failure from this surgery. Our work uses a genetic algorithm to analyze radiology reports from these patients to look for common patterns in the language used as well as common features of both successful and unsuccessful surgeries. The results of the genetic algorithm show that patients with complications or unusual characteristics can be identified from a set of radiology reports without the use of search keywords, clustering, categorization, or ontology. This allows medical researchers to search and identify interesting patient records without the need for explicitly defining what "interesting" patient records are.