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healthcareai  

Tools for Healthcare Machine Learning
View on CRAN: Click here


Download and install healthcareai package within the R console
Install from CRAN:
install.packages("healthcareai")

Install from Github:
library("remotes")
install_github("cran/healthcareai")

Install by package version:
library("remotes")
install_version("healthcareai", "2.5.1")



Attach the package and use:
library("healthcareai")
Maintained by
Mike Mastanduno
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-14
Latest Update: 2022-12-05
Description:
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 andalgorithm selection betweenxgboost Chen T. Guestrin C. 2016 arXiv1603.02754ranger Wright M. N. Ziegler A. 2017 doi10.18637jss.v077.i01and glm Friedman J Hastie T Tibshirani R. 2010 doi10.18637jss.v033.i01so that they can be easilyput into production. Additionally there are tools to help understand how a model makes itspredictions select prediction threshholds for operational use and evaluate model performance over time.Code uses tidyverse syntax and most methods have an associated visualization.
How to cite:
Mike Mastanduno (2017). healthcareai: Tools for Healthcare Machine Learning. R package version 2.5.1, https://cran.r-project.org/web/packages/healthcareai. Accessed 17 Feb. 2025.
Previous versions and publish date:
0.1.11 (2017-02-14 00:08), 0.1.12 (2017-05-05 05:11), 1.0.0 (2017-09-11 19:17), 1.2.0 (2017-10-27 09:58), 1.2.3 (2017-12-22 23:53), 1.2.4 (2018-02-14 19:47), 2.0.0 (2018-04-21 01:04), 2.1.0 (2018-07-01 08:12), 2.2.0 (2018-09-01 19:40), 2.3.0 (2018-12-13 00:50), 2.4.0 (2020-02-28 19:00), 2.5.0 (2020-08-06 01:30), 2.5.1 (2022-09-05 16:50)
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Functions, R codes and Examples using the healthcareai R package
Full healthcareai package functions and examples
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