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
- Kebbi State University of Science and Technology, Aliero, Kebbi State 6
- Kenule Benson Saro-Wiwa Polytechnic, Bori, Rivers State 18
- Kogi State Polytechnic, Lokoja, Kogi State 4
- Kogi State University, Anyigba 2
- Kwara State College of Health Technology, offa, Kwara State 9
- Kwara State Polytechnic, Ilorin, Kwara State 20
- Kwara State University, Malete, Ilorin, Kwara State 13
- Ladoke Akintola University of Technology, Ogbomoso, Oyo State 39
- Lagos State Poly, Ikorodu, Lagos State 2
- Lagos State University, Ojo, Lagos State 8