Automatic identification of Chronic Obstructive Pulmonary Disease Based on forced oscillation measurements and artificial neural networks

@article{Amaral2010AutomaticIO,
  title={Automatic identification of Chronic Obstructive Pulmonary Disease Based on forced oscillation measurements and artificial neural networks},
  author={Jorge Lu{\'i}s Machado do Amaral and Alvaro C. D. Faria and Agnaldo Jos{\'e} Lopes and Jos{\'e} M. Jansen and Pedro Lopes de Melo},
  journal={2010 Annual International Conference of the IEEE Engineering in Medicine and Biology},
  year={2010},
  pages={1394-1397}
}
The purpose of this study is to develop an automatic classifier based on Artificial Neural Networks (ANNs) to help the diagnostic of Chronic Obstructive Pulmonary Disease (COPD) using forced oscillation measurements (FOT). The classifier inputs are the parameters provided by the FOT and the output is the indication if the parameters indicate COPD or not. The available dataset consists of 7 possible input features (FOT parameters) of 90 measurements made in 30 volunteers. Two feature selection… CONTINUE READING