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
- Covenant Polytechnic, Aba, Abia State 1
- Covenant University, Canaan Land, Ota, Ogun State 4
- Crawford University of Apostolic Faith Mission Faith City, Igbesa, Ogun State 2
- Crescent University, Abeokuta, Ogun State 1
- Cross Rivers University of Technology, Calabar, Cross Rivers State 142
- Delta State Polytechnic, Ogwashi-Uku, Delta State 11
- Delta State Polytechnic, Otefe, Delta State 13
- Delta State University, Abraka, Delta State 139
- Ebonyi State University, Abakaliki, Ebonyi State 17
- Edo University, Iyamho, Edo State 10