Risk Factor Prediction of Chronic Kidney Disease
Donated on 8/14/2023
Chronic kidney disease (CKD) is an increasing medical issue that declines the productivity of renal capacities and subsequently damages the kidneys.
Dataset Characteristics
Multivariate
Subject Area
Health and Medicine
Associated Tasks
Classification, Regression
Feature Type
Real
# Instances
200
# Features
28
Dataset Information
Was there any data preprocessing performed?
This dataset is not pre-processed, if you want to apply a Machine learning Algorithm at first you have to need to pre-process the data
Additional Information
This dataset is real Bangladeshi patient data. The dataset is collected from Enam Medical College, Savar, Dhaka, Bangladesh.
Has Missing Values?
No
Introductory Paper
By M. Islam, S. Akter, M. Hossen, Sadia Ahmed Keya, Sadia Afrin Tisha, Shahed Hossain. 2020
Published in International Conferences on Information Science and System
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| bp (Diastolic) | Feature | Integer | no | ||
| bp limit | Feature | Integer | no | ||
| sg | Feature | Categorical | no | ||
| al | Feature | Categorical | no | ||
| class | Target | Binary | no | ||
| rbc | Feature | Integer | no | ||
| su | Feature | Categorical | no | ||
| pc | Feature | Integer | no | ||
| pcc | Feature | Integer | no | ||
| ba | Feature | Integer | no |
0 to 10 of 29
Additional Variable Information
1. bp(Diastolic) 2. bp limit 3. sg 4. al 5. class 6. rbc 7. su 8. pc 9. pcc 10. ba 11.bgr 12. bu 13. sod 14. sc 15. pot 16. hemo 17. pcv 18. rbcc 19. wbcc 20. htn 21. dm 22. cad 23. appet 24. pe 25. ane 26. grf 27. stage 28. affected 29. age
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset risk_factor_prediction_of_chronic_kidney_disease = fetch_ucirepo(id=857) # data (as pandas dataframes) X = risk_factor_prediction_of_chronic_kidney_disease.data.features y = risk_factor_prediction_of_chronic_kidney_disease.data.targets # metadata print(risk_factor_prediction_of_chronic_kidney_disease.metadata) # variable information print(risk_factor_prediction_of_chronic_kidney_disease.variables)
Islam,Md. Ashiqul and Akter,Shamima. (2023). Risk Factor Prediction of Chronic Kidney Disease. UCI Machine Learning Repository. https://doi.org/10.24432/C5WP64.
@misc{misc_risk_factor_prediction_of_chronic_kidney_disease_857,
author = {Islam,Md. Ashiqul and Akter,Shamima},
title = {{Risk Factor Prediction of Chronic Kidney Disease}},
year = {2023},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5WP64}
}Keywords
Creators
Md. Ashiqul Islam
ashiqul15-951@diu.edu.bd
Diu Journal Analytica R & D Lab
Shamima Akter
shamima@vt.edu
Dept. of Bioinformatics and Computational Biology
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.