| diabetes | R Documentation |
A diabetes dataset on 1,000 patients.
diabetes
A data frame with 1,000 rows and 14 variables:
IDUnique identifier for each patient (unitless).
No_PationPatient number (unitless).
GenderCategorical variable (Female, Male).
AGEYears (age of the person).
UreaChief nitrogenous end product of the metabolic breakdown of proteins in milligrams per deciliter (mg/dL).
CrCreatinine ratio (Cr) (mg/dL).
HbA1cHemoglobin A1c (HbA1c) % (percentage).
CholCholesterol (Chol) (mg/dL).
TGTriglycerides (TG) (mg/dL).
HDLHigh-density lipoprotein (HDL) (mg/dL).
LDLLow-density lipoprotein (LDL) (mg/dL).
VLDLVery-low-density lipoprotein (VLDL) (mg/dL).
BMIBody mass index (BMI).
CLASSClass (the patient's diabetes disease class may be Diabetic, Non-Diabetic, or Predict-Diabetic).
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).
Rashid A (2020), “Diabetes Dataset”, Mendeley Data, V1, doi: 10.17632/wj9rwkp9c2.1.
DiaHealth.
data(diabetes)
knitr::kable(head(diabetes,5),caption="Five individuals in diabetes data")
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