Baselight

Diabetes Dataset 2019

Prediction and classification using Machine Learning

@kaggle.tigganeha4_diabetes_dataset_2019

About this Dataset

Diabetes Dataset 2019

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?

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