diabetes_data

classification

learning

machine

diabetes

Contains a collection of datasets for working with machine learning tasks.
It will contain datasets for supervised machine learning Jiang (2020)<doi:10.1016/j.beth.2020.05.002> and will include datasets for classification and regression.
The aim of this package is to use data generated around health and other domains.

Gary Hutson

MLDataR

Collection of Machine Learning Datasets for Supervised Machine
Learning

Asif Laldin

Isabella Velásquez

diabetes_data function

A data frame with 520 rows and 17 variables:<dl>
 <dt>Age</dt>
<dd>age of the patient presenting with diabetes</dd> <dt>Gender</dt>
<dd>gender of the patient with diabetes</dd> <dt>ExcessUrination</dt>
<dd>if the patient has a history of excessive urination</dd> <dt>Polydipsia</dt>
<dd>abnormal thurst, accompanied by the excessive intake of water or fluid</dd> <dt>WeightLossSudden</dt>
<dd>Sudden weight loss that has recently occured</dd> <dt>Fatigue</dt>
<dd>Fatigue or weakness</dd> <dt>Polyphagia</dt>
<dd>excessive or extreme hunger</dd> <dt>GenitalThrush</dt>
<dd>patient has thrush fungus on or near their genital region</dd> <dt>BlurredVision</dt>
<dd>history of blurred vision</dd> <dt>Itching</dt>
<dd>skin itching</dd> <dt>Irritability</dt>
<dd>general irritability and mood issues</dd> <dt>DelayHealing</dt>
<dd>delayed healing of wounds</dd> <dt>PartialPsoriasis</dt>
<dd>partial psoriasis on the body</dd> <dt>MuscleStiffness</dt>
<dd>stiffness of the muscles</dd> <dt>Alopecia</dt>
<dd>scalp alopecia and hair shedding</dd> <dt>Obesity</dt>
<dd>Classified as obese</dd> <dt>DiabeticClass</dt>
<dd>Class label to indicate whether the patient is diabetic or not</dd>
</dl>

Format

Diabetes datasets — diabetes_data

A data frame with 520 rows and 17 variables:<dl>
 <dt>Age</dt>
<dd>age of the patient presenting with diabetes</dd>

 <dt>Gender</dt>
<dd>gender of the patient with diabetes</dd>

 <dt>ExcessUrination</dt>
<dd>if the patient has a history of excessive urination</dd>

 <dt>Polydipsia</dt>
<dd>abnormal thurst, accompanied by the excessive intake of water or fluid</dd>

 <dt>WeightLossSudden</dt>
<dd>Sudden weight loss that has recently occured</dd>

 <dt>Fatigue</dt>
<dd>Fatigue or weakness</dd>

 <dt>Polyphagia</dt>
<dd>excessive or extreme hunger</dd>

 <dt>GenitalThrush</dt>
<dd>patient has thrush fungus on or near their genital region</dd>

 <dt>BlurredVision</dt>
<dd>history of blurred vision</dd>

 <dt>Itching</dt>
<dd>skin itching</dd>

 <dt>Irritability</dt>
<dd>general irritability and mood issues</dd>

 <dt>DelayHealing</dt>
<dd>delayed healing of wounds</dd>

 <dt>PartialPsoriasis</dt>
<dd>partial psoriasis on the body</dd>

 <dt>MuscleStiffness</dt>
<dd>stiffness of the muscles</dd>

 <dt>Alopecia</dt>
<dd>scalp alopecia and hair shedding</dd>

 <dt>Obesity</dt>
<dd>Classified as obese</dd>

 <dt>DiabeticClass</dt>
<dd>Class label to indicate whether the patient is diabetic or not</dd>


</dl>

Diabetes datasets

diabetes_data: Diabetes datasets

Description

Usage

Arguments

Format

Examples