International Journal of Numerical Methods and Applications

The International Journal of Numerical Methods and Applications publishes research articles on numerical methods and their applications in various fields, including differential equations, fluid dynamics, and bioinformatics. It also welcomes survey articles on new methods in numerical analysis.

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IMPACT OF DATA PREPROCESSING AND BALANCING ON DIABETES PREDICTION USING THE DECISION TREE TECHNIQUE

Authors

  • SILUE Kolo
  • COULIBALY Mamadou
  • KABORE Raogo
  • ASSEU Olivier
  • BOURGET Daniel

Keywords:

decision tree technique, diabetes detection, data preprocessing, SMOTE balancing, K-fold cross-validation

DOI:

https://doi.org/10.17654/0975045223008

Abstract

The International Diabetes Federation (IDF) has reported that by 2021, 537 million people worldwide have diabetes. In addition, about one third of people with diabetes are not aware that they have the disease. The number of diabetics is estimated to reach 783 million by 2045. However, the most common type of diabetes, type 2 diabetes (T2D), is largely preventable and can be prevented if effective early prediction is possible. The technologies of the 4e industrial revolution allow for the availability and exploration of huge amounts of data, including electronic medical records. But gaining knowledge and understanding of this data remains a major challenge. However, the latest advances in machine learning technologies can be applied to obtain hidden patterns, which can diagnose diabetes at an early stage. This work presents a methodology for modelling diabetes prediction from data, using various machine learning algorithms based on the decision tree technique. The study was carried out around three axes which are preprocessing, SMOTE (synthetic minority over-sampling technique) balancing and K-fold cross-validation, through three case scenarios.

Received: December 30, 2022 
Revised: March 22, 2023 
Accepted: April 19, 2023

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Published

2023-06-05

Issue

Vol. 23 No. 2 (2023)

Section

Articles

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How to Cite

IMPACT OF DATA PREPROCESSING AND BALANCING ON DIABETES PREDICTION USING THE DECISION TREE TECHNIQUE. (2023). International Journal of Numerical Methods and Applications, 23(2), 157-180. https://doi.org/10.17654/0975045223008

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