Corpus ID: 1979555

Comparison of Multivariate Adaptive Regression Splines and Random Forest Regression in Predicting Forced Expiratory Volume in One Second

@article{Pramila2015ComparisonOM,
  title={Comparison of Multivariate Adaptive Regression Splines and Random Forest Regression in Predicting Forced Expiratory Volume in One Second},
  author={P. Pramila and V. Mahesh},
  journal={World Academy of Science, Engineering and Technology, International Journal of Bioengineering and Life Sciences},
  year={2015},
  volume={9},
  pages={338-342}
}
  • P. Pramila, V. Mahesh
  • Published 2015
  • Computer Science
  • World Academy of Science, Engineering and Technology, International Journal of Bioengineering and Life Sciences
  • Pulmonary Function Tests are important non-invasive diagnostic tests to assess respiratory impairments and provides quantifiable measures of lung function. [...] Key Method Random forest based feature selection is used to enhance both the generalization capability and the model interpretability. In the present study, flow-volume data are recorded for N= 198 subjects. The ranked order of feature importance index calculated by the random forests model shows that the spirometric features FVC, FEF25, PEF, FEF25-75…Expand Abstract
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