document: Genetic algorithm-neural network estimation of Cobb angle from torso asymmetry in scoliosis Scoliosis severity , measured by the Cobb angle , was estimated by artificial neural network from indices of torso surface asymmetry using a genetic algorithm to select the optimal set of input torso indices . Estimates of the Cobb angle were accurate within 5 degrees in two-thirds , and within 10 degrees in six-sevenths , of a test set of 115 scans of 48 scoliosis patients , showing promise for future longitudinal studies to detect scoliosis progression without use of X-rays
doc_bio_tags: O O O O O B I O O O O O O O O O O O B I O O O O B I I O O O B I I O O B I O O O O O O B I I O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O B I O O O O
extractive_keyphrases: cobb angle artificial neural network torso surface asymmetry genetic algorithm input torso indices scoliosis patients scoliosis progression