Chronic Kidney Disease
Donated on 7/2/2015
This dataset can be used to predict the chronic kidney disease and it can be collected from the hospital nearly 2 months of period.
Dataset Characteristics
Multivariate
Subject Area
Other
Associated Tasks
Classification
Feature Type
Real
# Instances
400
# Features
24
Dataset Information
Additional Information
We use the following representation to collect the dataset age - age bp - blood pressure sg - specific gravity al - albumin su - sugar rbc - red blood cells pc - pus cell pcc - pus cell clumps ba - bacteria bgr - blood glucose random bu - blood urea sc - serum creatinine sod - sodium pot - potassium hemo - hemoglobin pcv - packed cell volume wc - white blood cell count rc - red blood cell count htn - hypertension dm - diabetes mellitus cad - coronary artery disease appet - appetite pe - pedal edema ane - anemia class - class
Has Missing Values?
Yes
Variables Table
| Variable Name | Role | Type | Demographic | Description | Units | Missing Values |
|---|---|---|---|---|---|---|
| age | Feature | Integer | Age | year | yes | |
| bp | Feature | Integer | blood pressure | mm/Hg | yes | |
| sg | Feature | Categorical | specific gravity | yes | ||
| al | Feature | Categorical | albumin | yes | ||
| su | Feature | Categorical | sugar | yes | ||
| rbc | Feature | Binary | red blood cells | yes | ||
| pc | Feature | Binary | pus cell | yes | ||
| pcc | Feature | Binary | pus cell clumps | yes | ||
| ba | Feature | Binary | bacteria | yes | ||
| bgr | Feature | Integer | blood glucose random | mgs/dl | yes |
0 to 10 of 25
Additional Variable 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) sg - (1.005,1.010,1.015,1.020,1.025) 4.Albumin(nominal) al - (0,1,2,3,4,5) 5.Sugar(nominal) su - (0,1,2,3,4,5) 6.Red Blood Cells(nominal) rbc - (normal,abnormal) 7.Pus Cell (nominal) pc - (normal,abnormal) 8.Pus Cell clumps(nominal) pcc - (present,notpresent) 9.Bacteria(nominal) ba - (present,notpresent) 10.Blood Glucose Random(numerical) bgr in mgs/dl 11.Blood Urea(numerical) bu in mgs/dl 12.Serum Creatinine(numerical) sc in mgs/dl 13.Sodium(numerical) sod in mEq/L 14.Potassium(numerical) pot in mEq/L 15.Hemoglobin(numerical) hemo in gms 16.Packed Cell Volume(numerical) 17.White Blood Cell Count(numerical) wc in cells/cumm 18.Red Blood Cell Count(numerical) rc in millions/cmm 19.Hypertension(nominal) htn - (yes,no) 20.Diabetes Mellitus(nominal) dm - (yes,no) 21.Coronary Artery Disease(nominal) cad - (yes,no) 22.Appetite(nominal) appet - (good,poor) 23.Pedal Edema(nominal) pe - (yes,no) 24.Anemia(nominal) ane - (yes,no) 25.Class (nominal) class - (ckd,notckd)
Class Labels
ckd, notckd
Dataset Files
| File | Size |
|---|---|
| Chronic_Kidney_Disease.rar | 18.8 KB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset chronic_kidney_disease = fetch_ucirepo(id=336) # data (as pandas dataframes) X = chronic_kidney_disease.data.features y = chronic_kidney_disease.data.targets # metadata print(chronic_kidney_disease.metadata) # variable information print(chronic_kidney_disease.variables)
Rubini, L., Soundarapandian, P., & Eswaran, P. (2015). Chronic Kidney Disease [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5G020.
Creators
L. Rubini
P. Soundarapandian
P. Eswaran
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.