some metaheuristic optimization method. Ordinary resampling like SMOTE [@smote] can offset the effects of imbalanced data, but clever resampling and combinations of methods can be applied to eliminate the effects of imbalanced datasets altogether [@handle].

Conclusion
==========

In this study, we used Distance Correlation Sure Independence Screening for feature selection, which exploits the relatively few samples relative to predictors. Using a Parkinson’s disease remote diagnosis dataset, we achieved a comparable predictive performance to Minimum Redundancy-Maximum Relevance selection, but 90 times faster. The predictions were made using seven machine learning methods on a size 50 feature set within a Leave-One-Subject-Out jackknife. Being able to make high quality predictions with so much less computational load and time can save a great deal when the dataset has relatively few samples, but a great deal of predictors.

  **Feature**                       **p**
  --------------------------------- -------
  std\_6th\_delta\_delta            1.0
  mean\_MFCC\_2nd\_coef             1.0
  tqwt\_kurtosisValue\_dec\_26      1.0
  maxIntensity                      1.0
  tqwt\_entropy\_shannon\_dec\_11   1.0
  tqwt\_kurtosisValue\_dec\_36      1.0
  tqwt\_stdValue\_dec\_33           1.0
  std\_8th\_delta                   1.0
  tqwt\_kurtosisValue\_dec\_20      1.0
  tqwt\_entropy\_log\_dec\_27       1.0
  tqwt\_TKEO\_std\_dec\_12          1.0
  std\_delta\_delta\_log\_energy    1.0
  std\_11th\_delta\_delta           1.0
  f1                                1.0
  tqwt\_kurtosisValue\_dec\_27      1.0
  tqwt\_entropy\_shannon\_dec\_32   1.0
  tqwt\_energy\_dec\_12             1.0
  std\_4th\_delta                   1.0
  tqwt\_TKEO\_std\_dec\_35          1.0
  tqwt\_entropy\_log\_dec\_12       1.0
  tqwt\_skewnessValue\_dec\_25      1.0
  std\_7th\_delta\_delta            1.0
  tqwt\_energy\_dec\_15             1.0
  tqwt\_TKEO\_std\_dec\_11          1.0
  tqwt\_skewnessValue\_dec\_36      1.0
  tqwt\_skewnessValue\_dec\_26      1.0
  tqwt\_kurtosisValue\_dec\_18      1.0
  std\_8th\_delta\_delta            1.0
  tqwt\_energy\_dec\_11             1.0
  tqwt\_entropy\_shannon\_dec\_33   1.0
  tqwt\_stdValue\_dec\_12           1.0
  apq11Shimmer                      