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Interpretability and Class Imbalance in Prediction Models for Pain Volatility in Manage My Pain App Users: Analysis Using Feature Selection and Majority Voting Methods.

Quazi Abidur RahmanTahir JanmohamedHance A ClarkePaul RitvoJane M HeffernanJoel D Katz
Published in: JMIR medical informatics (2019)
We employed feature selection methods to identify important features in predicting future pain volatility. To address class imbalance, we consolidated models that were developed using multiple random subsamples by majority voting. Reducing the number of features did not result in a significant decrease in the consolidated prediction accuracy.
Keyphrases
  • chronic pain
  • pain management
  • neuropathic pain
  • machine learning
  • deep learning
  • spinal cord
  • spinal cord injury
  • current status