The novel application of artificial neural network on bioelectrical impedance analysis to assess the body composition in elderly
2013
Background
This study aims to improve accuracy of Bioelectrical Impedance Analysis (BIA) prediction equations for estimating fat free mass (FFM) of the elderly by using non-linear Back Propagation Artificial Neural Network (BP-ANN) model and to compare the predictive accuracy with the linear regression model by using energy dual X-ray absorptiometry (DXA) as reference method.
Keywords:
- Backpropagation
- Dual-energy X-ray absorptiometry
- Linear model
- Statistics
- Bioelectrical impedance analysis
- Multivariate analysis
- Internal medicine
- Endocrinology
- Artificial neural network
- Linear regression
- Surgery
- Body weight
- Medicine
- back propagation artificial neural network
- fat free mass
- Artificial intelligence
- Pattern recognition
- Correction
- Source
- Cite
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