|
Chronic_Kidney_Disease Data Set
Download: Data Folder, Data Set Description
Abstract: This dataset can be used to predict the chronic kidney disease and it can be collected from the hospital nearly 2 months of period.
|
|
Data Set Characteristics: |
Multivariate |
Number of Instances: |
400 |
Area: |
N/A |
Attribute Characteristics: |
Real |
Number of Attributes: |
25 |
Date Donated |
2015-07-03 |
Associated Tasks: |
Classification |
Missing Values? |
Yes |
Number of Web Hits: |
96713 |
Source:
Source:
Dr.P.Soundarapandian.M.D.,D.M
(Senior Consultant Nephrologist),
Apollo Hospitals,
Managiri,
Madurai Main Road,
Karaikudi,
Tamilnadu,
India.
Creator:
L.Jerlin Rubini(Research Scholar)
Alagappa University,
EmailId :jel.jerlin '@' gmail.com
ContactNo :+91-9597231281
Guided by:
Dr.P.Eswaran Assistant Professor,
Department of Computer Science and Engineering,
Alagappa University,
Karaikudi,
Tamilnadu,
India.
Emailid:eswaranperumal '@' gmail.com
Data Set 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
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)
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)
Relevant Papers:
N/A
Citation Request:
Please refer to the Machine Learning
Repository's citation policy
|
