diabetes_data {MLDataR} | R Documentation |
Diabetes datasets
Description
Diabetes datasets
Usage
diabetes_data
Format
A data frame with 520 rows and 17 variables:
- Age
age of the patient presenting with diabetes
- Gender
gender of the patient with diabetes
- ExcessUrination
if the patient has a history of excessive urination
- Polydipsia
abnormal thurst, accompanied by the excessive intake of water or fluid
- WeightLossSudden
Sudden weight loss that has recently occured
- Fatigue
Fatigue or weakness
- Polyphagia
excessive or extreme hunger
- GenitalThrush
patient has thrush fungus on or near their genital region
- BlurredVision
history of blurred vision
- Itching
skin itching
- Irritability
general irritability and mood issues
- DelayHealing
delayed healing of wounds
- PartialPsoriasis
partial psoriasis on the body
- MuscleStiffness
stiffness of the muscles
- Alopecia
scalp alopecia and hair shedding
- Obesity
Classified as obese
- DiabeticClass
Class label to indicate whether the patient is diabetic or not
Source
Collected by Gary Hutson hutsons-hacks@outlook.com, Dec-2021
Examples
library(dplyr)
data(diabetes_data)
# Convert diabetes data to factor'
diabetes_data <- diabetes_data %>%
glimpse() %>%
mutate(DiabeticClass = as.factor(DiabeticClass))
is.factor(diabetes_data$DiabeticClass)
[Package MLDataR version 1.0.1 Index]