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Feature Extraction of Osteoporosis Risk Factors using Artificial Neural Networks and Genetic Algorithms
George Anastassopoulos, Adam Adamopoulos, Dimitrios Galiatsatos, Georgios Drosos
186 - 188
10.3233/978-1-61499-276-9-186
Studies in Health Technology and Informatics
Volume 190: Informatics, Management and Technology in Healthcare
Abstract

A hybrid model that consists of an Artificial Neural Network and Genetic Algorithm is used in order to select the most significant osteoporosis risk factors. The results indicated that just 8 to 10 parameters, out of a total 34, are essential in order of high performance to be achieved.

$35.00 / €27.50 / £22.00
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