Diabetes-Dataset-2019
OpenML dataset with id 43341
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/22102166/Diabetes-Dataset-2019.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 18 (numeric: 4, symbolic: 0 and in total binary: 0 )
Number of instances: 952
Number of instances with missing values: 47
Number of missing values: 48
Context
This dataset was collected by Neha Prerna Tigga and Dr. Shruti Garg of the Department of Computer Science and Engineering, BIT Mesra, Ranchi-835215 for research, non-commercial purposes only. An article is also published implementing this dataset. For more information and citation of this dataset please refer:
Tigga, N. P., Garg, S. (2020). Prediction of Type 2 Diabetes using Machine Learning Classification Methods. Procedia Computer Science, 167, 706-716. DOI: https://doi.org/10.1016/j.procs.2020.03.336
Content
There is a total of 952 instances with 17 independent predictor variables and one binary target or dependent variable, Diabetes.
Acknowledgements
We would like to thank all the participants who contributed towards the building of this dataset.
Inspiration
To build a machine learning algorithm to predict if a person has diabetes or not?
This page was built for dataset: Diabetes-Dataset-2019
