chronic-kidney-disease
OpenML dataset with id 42972
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22045641/chronic-kidney-disease.arff
Upload date: 28 May 2021
Dataset Characteristics
Number of features: 26 (numeric: 12, symbolic: 0 and in total binary: 0 )
Number of instances: 400
Number of instances with missing values: 242
Number of missing values: 1,009
Author: L.Jerlin Rubini Source: UCI - 2015 Please cite: UCI
Chronic_Kidney_Disease Data Set
This dataset can be used to predict the chronic kidney disease and it can be collected from the hospital nearly 2 months of period.
Attribute information
We use 24 + class = 25 ( 11 numeric ,14 nominal)
1. Age(numerical)
age in years
2. Blood Pressure(numerical)
bp in mm/Hg
3. Specific Gravity(nominal)
4. Albumin(nominal)
5. Sugar(nominal)
6. Red Blood Cells(nominal)
7. Pus Cell (nominal)
8. Pus Cell clumps(nominal)
9. Bacteria(nominal)
10. Blood Glucose Random(numerical)
11.Blood Urea(numerical)
12. Serum Creatinine(numerical)
13. Sodium(numerical)
14. Potassium(numerical)
15. Hemoglobin(numerical)
16.Packed Cell Volume(numerical)
17. White Blood Cell Count(numerical)
18. Red Blood Cell Count(numerical)
19. Hypertension(nominal)
20. Diabetes Mellitus(nominal)
21. Coronary Artery Disease(nominal)
22. Appetite(nominal)
23. Pedal Edema(nominal)
24. Anemia(nominal)
25. Class (nominal)
This page was built for dataset: chronic-kidney-disease