Prediction of Diabetes Empowered With Fused Machine Learning
Riphah International University · Virtual University of Pakistan · +6 more institutions
Abstract
In the medical field, it is essential to predict diseases early to prevent them. Diabetes is one of the most dangerous diseases all over the world. In modern lifestyles, sugar and fat are typically present in our dietary habits, which have increased the risk of diabetes. To predict the disease, it is extremely important to understand its symptoms. Currently, machine-learning (ML) algorithms are valuable for disease detection. This article presents a model using a fused machine learning approach for diabetes prediction. The conceptual framework consists of two types of models: Support Vector Machine (SVM) and Artificial Neural Network (ANN) models. These models analyze the dataset to determine whether a…
Citation impact
- FWCI
- 70.13
- Percentile
- 100%
- References
- 18
Authors
8- UAUsama AhmedCorresponding
Riphah International University, Virtual University of Pakistan
- GFGhassan F. Issa
Skyline University College
- MAMuhammad Adnan Khan
Gachon University, Riphah International University, University of Health Sciences Lahore
- SAShabib Aftab
National College of Business Administration and Economics, Virtual University of Pakistan
- MFMuhammad Farhan Khan
Riphah International University, University of Health Sciences Lahore
Topics & keywords
- Machine learning
- Artificial intelligence
- Support vector machine
- Artificial neural network
- Computer science
- Diabetes mellitus
- Fuzzy logic
- Data mining
- Good health and well-being