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 Ede, Osun State 38
- Federal Polytechnic, Ado-Ekiti, Ekiti State 29
- Federal Polytechnic, Bauchi, Bauchi State 3
- Federal Polytechnic, Bida, Niger State 15
- Federal Polytechnic, Damaturu, Yobe State 11
- Federal Polytechnic, Ede, Osun State 135
- Federal Polytechnic, Idah, Kogi State 1
- Federal Polytechnic, Ilaro, Ogun State 11
- Federal Polytechnic, Ile-Oluji, Ondo State 7
- Federal Polytechnic, Kaura/Namoda, Zamfara State 3