PreDiabetes: PreDiabetes dataset

In MLDataR: Collection of Machine Learning Datasets for Supervised Machine Learning

PreDiabetes dataset

Description

PreDiabetes dataset

Usage

PreDiabetes

Format

A data frame with 3059 rows and 9 variables:

Age

age of the patient presenting with diabetes

Sex

sex of the patient with diabetes

IMD_Decile

Index of Multiple Deprivation Decile

BMI

Body Mass Index of patient

Age_PreDiabetes

age at pre diabetes diagnosis

HbA1C

average blood glucose mmol/mol

Time_Pre_To_Diabetes

time in years between pre-diabetes and diabetes diagnosis

Age_Diabetes

age at diabetes diagnosis

PreDiabetes_Checks_Before_Diabetes

number of pre-diabetes related primary care appointments before diabetes diagnosis

Source

Generated by Asif Laldin [e-mail], Jan-2022

Examples

library(dplyr)
data(PreDiabetes)
# Convert diabetes data to factor'
diabetes_data <- PreDiabetes %>%
 glimpse()

MLDataR documentation built on Oct. 3, 2022, 5:08 p.m.