An Introduction to Neural Networks
An Introduction to Neural Networks
A note on the hierarchical nature of n-parent variation operators in evolutionary algorithms
Information Sciences—Informatics and Computer Science: An International Journal
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Expert Systems with Applications: An International Journal
Dynamic diversity control in genetic algorithm for mining unsearched solution space in TSP problems
Expert Systems with Applications: An International Journal
Multi-parent extension of partially mapped crossover for combinatorial optimization problems
Expert Systems with Applications: An International Journal
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Risk prediction of femoral neck osteoporosis using machine learning and conventional methods
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
Hi-index | 0.98 |
Osteoporosis is characterized by low bone mineral density (BMD). This illness has a high-cost impact in all developed countries. The aim of this article is the development of a mathematical method able to predict the BMD of post-menopausal women, taking into account only certain nutritional variables. This research applies neural networks for the study of the influence of diet and lifestyle on the value of bone mineral density in post-menopausal women. A questionnaire on nutritional habits and lifestyle was drawn up. The variables obtained from this, together with the BMD of the patients calculated by densitometry, were processed using genetic algorithms in order to reduce the number of input variables. Finally, a neural network model using only those variables considered important was applied. It has been proved to be possible to build a neural network model able to forecast the BMD of post-menopausal women according to their responses to the questionnaire. This model can be used to determine which women should take a densitometry in order to verify their bone quality and thus prevent some risks associated with osteoporosis.