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Machine learning code used for SweMaMi study on miscarriage

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Machine learning code

Code comparing six different machine learning algorithms used for analysis of miscarriage cases in the SweMaMi study

  • svmRadial
  • Elastic Net
  • classic Random Forest
  • Ranger Random Forest
  • Neural Networks with feature extraction
  • k-Nearest Neighbor

This version was used to analyze questionnaire variables, but the same approach was used for microbiome variables

Includes five random test cohorts to account for low power

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Machine learning code used for SweMaMi study on miscarriage

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