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healthcareai-r v0.1.10

Thatcher, Levi

This is the first full release of healthcare.ai for R. Note that

This release encompasses basic healthcare ML functionality:

  • Model comparison between random forest, lasso, and mixed model algorithms
  • Feature selection via lasso and random forest feature importance
  • Model deployment to SQL Server, providing top-three most important features
  • Imputation (column mean for numeric and column mode for categorical)
  • Hyperparameter tuning using mtry and number of trees for random forest
  • ROC and PR Curves plotted
  • Model performance evaluated via AU_ROC and AU_PR
  • To assist, these functions are available:
    • groupedLOCF (for longitudinal imputation)
    • findTrends (for Nelson rule 3)
    • convertDateTimeColToDummies to create data-based features from datetime stamp
    • calculateAllCorrelations for correlations across all numeric cols in data frame
    • calculateTargetedCorrelations for correlations across numeric cols and specific column

For this release the following infrastructure: is in place:

AppveyorCI
Roxygen2
mkdocs for website (which files reside in documentation repo)

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healthcareai-r-0.1.10.tar.gz
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healthcareai_0.1.10.tar.gz
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healthcareai_0.1.10.zip
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