Diabetes Mellitus Prediction Using Artificial Neural Network
Student: Ayomide Michael Aladetuyi (Project, 2025)
Department of Computer and Information Science
Bamidele Olumilua University of Edu. Science and Tech. Ikere Ekiti, Ekiti State
Abstract
The project addresses the global health concern of diabetes mellitus by creating a predictive model using an Artificial Neural Network (ANN). The model was trained and tested on the "Early-Stage Diabetes Risk Prediction Dataset" from Mendeley, which includes demographic and clinical symptom data. After data preprocessing and an 80-20 train-test split, the developed ANN model achieved a high accuracy of 98%. The project successfully deployed this model into a functional web application using Google Colab and Gradio, showcasing a practical tool for early diabetes risk assessment.
Keywords
For the full publication, please contact the author directly at: aladetuyiayosire@gmail.com
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Institutions
- Osun State College of Education, Ila-Orangun(Aff To Ekiti State Uni), Osun State 1
- Osun State College of Education, Ilesa, Osun State. (affl To Univ of Ibadan) 2
- Osun State Polytechnic, Iree, Osun State 468
- Osun State University, Osogbo, Osun State 11
- Our Saviour Institute of Science and Technology (polytechnic) Enugu, Enugu State 1
- PAN-ATLANTIC UNIVERSITY, KM 52 LEKKI-EPE EXPRESSWAY, IBEJU-LEKKI, LAGOS STATE. 14
- Paul University, Awka, Anambra State 2
- Petroleum Training Institute, Effurun, Delta State 1
- Precious Cornerstone University, Ibadan, Oyo State 1
- Prince Abubakar Audu University, Anyigba 30