Early stage diabetes risk prediction dataset.
Donated on 7/11/2020
This dataset contains the sign and symptpom data of newly diabetic or would be diabetic patient.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
-
# Instances
520
# Features
17
Dataset Information
Additional Information
This has been col- lected using direct questionnaires from the patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh and approved by a doctor.
Has Missing Values?
Yes
Variable Information
Age 1.20-65 Sex 1. Male, 2.Female Polyuria 1.Yes, 2.No. Polydipsia 1.Yes, 2.No. sudden weight loss 1.Yes, 2.No. weakness 1.Yes, 2.No. Polyphagia 1.Yes, 2.No. Genital thrush 1.Yes, 2.No. visual blurring 1.Yes, 2.No. Itching 1.Yes, 2.No. Irritability 1.Yes, 2.No. delayed healing 1.Yes, 2.No. partial paresis 1.Yes, 2.No. muscle sti ness 1.Yes, 2.No. Alopecia 1.Yes, 2.No. Obesity 1.Yes, 2.No. Class 1.Positive, 2.Negative.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset early_stage_diabetes_risk_prediction_dataset = fetch_ucirepo(id=529) # data (as pandas dataframes) X = early_stage_diabetes_risk_prediction_dataset.data.features y = early_stage_diabetes_risk_prediction_dataset.data.targets # metadata print(early_stage_diabetes_risk_prediction_dataset.metadata) # variable information print(early_stage_diabetes_risk_prediction_dataset.variables)
Early stage diabetes risk prediction dataset.. (2020). UCI Machine Learning Repository. https://doi.org/10.24432/C5VG8H.
@misc{misc_early_stage_diabetes_risk_prediction_dataset._529,
title = {{Early stage diabetes risk prediction dataset.}},
year = {2020},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5VG8H}
}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.