healthcareai
2.5.1Tools for Healthcare Machine Learning
Overview
Aims to make machine learning in healthcare as easy as possible. You can develop customized, reliable, high-performance machine learning models with minimal code. Models are created with automatic preprocessing, hyperparameter tuning, and algorithm selection (between 'xgboost' Chen, T. & Guestrin, C. (2016) arXiv:1603.02754, 'ranger' Wright, M. N., & Ziegler, A. (2017) doi:10.18637/jss.v077.i01, and 'glm' Friedman J, Hastie T, Tibshirani R. (2010) doi:10.18637/jss.v033.i01) so that they can be easily put into production. Additionally, there are tools to help understand how a model makes its predictions, select prediction threshholds for operational use, and evaluate model performance over time. Code uses 'tidyverse' syntax and most methods have an associated visualization.
Fixed
- Numerous bugs with recipes and other updated packages.
From NEWS.md in the release
Install
Health
CRAN check results are not tracked yet.
Documentation
- Help pages
- 58 (3 internal)includes a package overview page
- Examples that run
- 84%37 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
- Exported functions with examples
- 85%
- Documented parameters
- 100%
- Return-value docs
- 98%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Previously maintained by Michael Levy (1.2.0 to 2.2.0) and Levi Thatcher (0.1.11 to 1.0.0).
Pick two releases to compare their code metrics.
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-12-05issues were not corrected in time
- unarchivedReturned to CRAN2022-09-05
- 2.5.1
- archivedRemoved from CRAN2022-07-18check issues were not addressed in time
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- unarchivedReturned to CRAN2020-08-06
- 2.5.02020-08-05 · diff ↗
- archivedRemoved from CRAN2020-06-15check problems were not corrected in time
- RR 4.0.0 released · 2020-04-24
- 2.4.02020-02-28 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 2.3.02018-12-12 · diff ↗ ·
added 8 exports
step_dummy_hcai, step_locfimpute, tidy, tidy.step_add_levels, tidy.step_date_hcai, tidy.step_dummy_hcai, tidy.step_locfimpute, tidy.step_missing - 2.2.02018-09-01 · diff ↗ ·
added 9 exports
Mode, evaluate_multiclass, explore, get_cutoffs, get_thresholds, is.multiclass_list, make_na, pip, rename_with_counts - 2.1.02018-07-01 · diff ↗ ·
removed 3 exports
catalyst_test_deploy_in_prod, start_prod_logs, stop_prod_logsadded 4 exports
add_best_levels, get_best_levels, get_random_hyperparameters, interpret
Show 10 earlier eventsHide 10 earlier events
- RR 3.5.0 released · 2018-04-23
- 2.0.02018-04-20 · diff ↗ ·
removed 66 exports
KmeansClustering, LassoDeployment, LassoDevelopment, LinearMixedModelDeployment, LinearMixedModelDevelopment, RandomForestDeployment, RandomForestDevelopment, RiskAdjustedComparisons, SupervisedModelDeployment, SupervisedModelDeploymentParams, SupervisedModelDevelopment, SupervisedModelDevelopmentParams, UnsupervisedModel, UnsupervisedModelParams, XGBoostDeployment, XGBoostDevelopment, addSAMUtilityCols, assignClusterLabels, calculateAllCorrelations, calculateCOV, calculateConfusion, calculateHourBins, calculatePerformance, calculateSDChanges, calculateTargetedCorrelations, calulcateAlternatePredictions, convertDateTimeColToDummies, countDaysSinceFirstDate, countPercentEmpty, createAllCombinations and 36 moreadded 32 exports
%>%, add_SAM_utility_cols, as.model_list, build_connection_string, control_chart, convert_date_cols, db_read, evaluate, evaluate_classification, evaluate_regression, flash_models, get_hyperparameter_defaults, get_supported_models, get_variable_importance, hcai_impute, impute, is.classification_list, is.model_list, is.predicted_df, is.regression_list, load_models, machine_learn, missingness, pivot, prep_data, save_models, separate_drgs, split_train_test, step_add_levels, step_date_hcai and 2 more - 1.2.42018-02-14 · diff ↗
- 1.2.3
- 1.2.02017-10-27 · diff ↗ ·
removed 1 export
skip_if_no_MSSQLadded 4 exports
catalyst_test_deploy_in_prod, skip_on_not_appveyor, start_prod_logs, stop_prod_logs - 1.0.02017-09-11 · diff ↗ ·
removed 1 export
imputeColumnadded 29 exports
KmeansClustering, UnsupervisedModel, UnsupervisedModelParams, XGBoostDeployment, XGBoostDevelopment, addSAMUtilityCols, assignClusterLabels, calculateCOV, calculateConfusion, countMissingData, createAllCombinations, createVarianceTallTable, dataScale, distancePointLine, distancePointSegment, findElbow, findVariation, getPipedValue, getPipedWordCount, ignoreSpecWarn, imputeDF, isNumeric, isTargetYN, lineMagnitude, pcaAnalysis, removeColsWithDTSSuffix, removeColsWithOnlyNA, skip_if_no_MSSQL, variationAcrossGroups - 0.1.122017-05-05 · diff ↗ ·
added 5 exports
calculateHourBins, featureAvailabilityProfiler, getCutOffList, percentDataAvailableInDateRange, plotProfiler - RR 3.4.0 released · 2017-04-21
- 0.1.112017-02-13
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2017-02-13
- Total releases
- 13 / 9 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.6
- Bundled data
- 25 KB / 2 files
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("healthcareai")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.