Development of an Enhanced Person-Centred Care Model Through Predictive Analysis of Diabetes Using Random Forest
Student: Benjamen Oluwapelumi Ilori (Project, 2025)
Department of Computer Engineering
Federal Polytechnic, Ede, Osun State
Abstract
The scope of this study focuses on developing a predictive model using Random Forest to enhance person-centred care for diabetes management. The study will utilize diverse datasets, including patient demographics, medical history, lab results, and lifestyle factors, to predict diabetes onset and progression. It will also explore the model's ability to provide individualized risk assessments, guiding healthcare professionals in offering personalized treatment plans. The research will be limited to structured data from electronic health records (EHRs) and will focus on Type 2 diabetes.
Keywords
For the full publication, please contact the author directly at: benjamenilori19@gmail.com
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Institutions
- Federal Polytechnic, Mubi, Adamawa State 20
- Federal Polytechnic, Nasarawa, Nasarawa State 60
- Federal Polytechnic, Nekede, Imo State 53
- Federal Polytechnic, offa, Kwara State 19
- Federal Polytechnic, Oko, Anambra State 8
- Federal School of Biomedical Engineering, (LUTH), Idi-Araba, Lagos State 1
- Federal School of Surveying, Oyo, Oyo State 7
- Federal University of Agriculture, Abeokuta, Ogun State 19
- Federal University of Petroleum Resources, Effurun, Delta State 78
- Federal University of Technology Akure, Ondo State 23