Tools for Healthcare Machine Learning

A machine learning toolbox tailored to healthcare data. Aids in data cleaning, model development, hyperparameter tuning, and model deployment in a production SQL environment. Algorithms currently supported are Lasso, Random Forest, XGBoost, Kmeans clustering, and Linear Mixed Model.


Reference manual

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1.0.0 by Levi Thatcher, 9 days ago

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Authors: Levi Thatcher [aut, cre], Mike Mastanduno [aut], Michael Levy [aut], Taylor Miller [aut], Taylor Larsen [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports caret, data.table, DBI, doParallel, e1071, grpreg, lme4, odbc, pROC, R6, ranger, ROCR, RSQLite, xgboost

Suggests testthat

See at CRAN