Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Hybridization of Evolutionary Mechanisms for Feature Subset Selection in Unsupervised Learning
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
CT-EXT: an algorithm for computing typical testor set
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Hybrid Metaheuristics: An Emerging Approach to Optimization
Hybrid Metaheuristics: An Emerging Approach to Optimization
Evolutionary computation in the identification of risk factors. Case of TRALI
Expert Systems with Applications: An International Journal
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This paper presents a hybrid evolutionary algorithm to identify risk factors associated with transfusion related acute lung injury (TRALI). This medical condition occurs mainly in intensive care units and operating rooms, and the main strategy for its treatment is prevention. The proposed algorithm works with information from the model known as "two hits", in which the first hit is the original disease and the second corresponds to the blood transfusion. This algorithm is based on a genetic algorithm hybridized with testor analysis. This research used information from 87 patients treated at the Centenary Hospital Miguel Hidalgo in the city of Aguascalientes, Mexico. As a result of the algorithm's application, it was found that most variables are related to the first hit, while only some of them belong to the second one. The analysis also revealed that some variables physicians believed significant a priori, were not very important; among other discoveries.