Description
The data was taken over a 2-month period in India with 25 features ( eg, red blood cell count, white blood cell count, etc). The target is the 'classification', which is either 'ckd' or 'notckd' - ckd=chronic kidney disease. Use machine learning techniques to predict if a patient is suffering from a chronic kidney disease or not.
Credit goes to Mansoor Iqbal (https://www.kaggle.com/mansoordaku) from where the dataset has been collected. For the purpose of creating a challenge, certain modifications have been done to the dataset.
Original dataset can be acquired from the link Chronic KIdney Disease (https://www.kaggle.com/mansoordaku/ckdisease)
Attribute Information
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
Additional Feature Details
Attribute Information:
We use 24 + class = 25 ( 11 numeric ,14 nominal)
- Age(numerical) - age in years
- Blood Pressure(numerical) - bp in mm/Hg
- Specific Gravity(nominal) - sg - (1.005,1.010,1.015,1.020,1.025)
- Albumin(nominal) - al - (0,1,2,3,4,5)
- Sugar(nominal) - su - (0,1,2,3,4,5)
- Red Blood Cells(nominal) - rbc - (normal,abnormal)
- Pus Cell (nominal) - pc - (normal,abnormal)
- Pus Cell clumps(nominal) - pcc - (present,notpresent)
- Bacteria(nominal) - ba - (present,notpresent)
- Blood Glucose Random(numerical) - bgr in mgs/dl
- Blood Urea(numerical) -bu in mgs/dl
- Serum Creatinine(numerical) - sc in mgs/dl
- Sodium(numerical) - sod in mEq/L
- Potassium(numerical) - pot in mEq/L
- Hemoglobin(numerical) - hemo in gms
- Packed Cell Volume(numerical)
- White Blood Cell Count(numerical) - wc in cells/cumm
- Red Blood Cell Count(numerical) - rc in millions/cmm
- Hypertension(nominal) - htn - (yes,no)
- Diabetes Mellitus(nominal) - dm - (yes,no)
- Coronary Artery Disease(nominal) - cad - (yes,no)
- Appetite(nominal) - appet - (good,poor)
- Pedal Edema(nominal) - pe - (yes,no)
- Anemia(nominal) - ane - (yes,no)
- Class (nominal)- class - (ckd,notckd)
