createDiabetes: Pima Indians Diabetes dataset

In jkrijthe/createdatasets: Download and preprocess common benchmark dataset for use in reproduceable simulation studies

Description

Diagnosis of diabetes in Pima Indian women (at least 21 years old)

Usage

createDiabetes(file = getfilepath("diabetes.rds"), write = TRUE,
  read = TRUE)

Arguments

file	character; path/filename to write data file to
write	logical; should the dataset be written to disk for later use? (default: TRUE)
read	logical; should we try to read the dataset from the specified location first? (default: TRUE)

Details

Task: formula(Diabetes~.)

Preprocessing: Identify missing values and encode them as NA

From UCI description: "Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage. ADAP is an adaptive learning routine that generates and executes digital analogs of perceptron-like devices. It is a unique algorithm; see the paper for details."

Value

The dataset as a data.table

References

Smith, J.W., Everhart, J.E., Dickson, W.C., Knowler, W.C., & Johannes, R.S. (1988). Using the ADAP learning algorithm to forecast the onset of diabetes mellitus. In Proceedings of the Symposium on Computer Applications and Medical Care (pp. 261–265). IEEE Computer Society Press.

See Also

https://archive.ics.uci.edu/ml/datasets/Pima+Indians+Diabetes

jkrijthe/createdatasets documentation built on May 19, 2019, 12:44 p.m.