Diabetes Dataset

A diabetes dataset on 1,000 patients.

Usage

diabetes

Format

A data frame with 1,000 rows and 14 variables:

ID

Unique identifier for each patient (unitless).

No_Pation

Patient number (unitless).

Gender

Categorical variable (Female, Male).

AGE

Years (age of the person).

Urea

Chief nitrogenous end product of the metabolic breakdown of proteins in milligrams per deciliter (mg/dL).

Cr

Creatinine ratio (Cr) (mg/dL).

HbA1c

Hemoglobin A1c (HbA1c) % (percentage).

Chol

Cholesterol (Chol) (mg/dL).

TG

Triglycerides (TG) (mg/dL).

HDL

High-density lipoprotein (HDL) (mg/dL).

LDL

Low-density lipoprotein (LDL) (mg/dL).

VLDL

Very-low-density lipoprotein (VLDL) (mg/dL).

BMI

Body mass index (BMI).

CLASS

Class (the patient's diabetes disease class may be Diabetic, Non-Diabetic, or Predict-Diabetic).

Source

Rashid A (2020), “Diabetes Dataset”, Mendeley Data, V1, doi: 10.17632/wj9rwkp9c2.1.

Details

The data were collected from the Iraqi society, as they data were acquired from the laboratory of Medical City Hospital and (the Specializes Center for Endocrinology and Diabetes-Al-Kindy Teaching Hospital).

See also

DiaHealth.

Examples

data(diabetes)
knitr::kable(head(diabetes,5),caption="Five individuals in diabetes data")
#> 
#> 
#> Table: Five individuals in diabetes data
#> 
#> |  ID| No_Pation|Gender | AGE| Urea| Cr| HbA1c| Chol|  TG| HDL| LDL| VLDL| BMI|CLASS |
#> |---:|---------:|:------|---:|----:|--:|-----:|----:|---:|---:|---:|----:|---:|:-----|
#> | 502|     17975|F      |  50|  4.7| 46|   4.9|  4.2| 0.9| 2.4| 1.4|  0.5|  24|N     |
#> | 735|     34221|M      |  26|  4.5| 62|   4.9|  3.7| 1.4| 1.1| 2.1|  0.6|  23|N     |
#> | 420|     47975|F      |  50|  4.7| 46|   4.9|  4.2| 0.9| 2.4| 1.4|  0.5|  24|N     |
#> | 680|     87656|F      |  50|  4.7| 46|   4.9|  4.2| 0.9| 2.4| 1.4|  0.5|  24|N     |
#> | 504|     34223|M      |  33|  7.1| 46|   4.9|  4.9| 1.0| 0.8| 2.0|  0.4|  21|N     |