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
- Novena University, Ogume, Delta State 1
- Nuhu Bamalli Polytechnic, Zaria, Kaduna State 7
- Nwafor Orizu College of Education, Nsugbe, Anambra State 1
- Obafemi Awolowo University, Ile-Ife, Osun State 15
- Oduduwa University, Ipetumodu, Osun State 9
- Ogun State College of Health Technology, Ilese-Ijebu, Ogun State 1
- Ogun State Institute of Tech(formerly Gateway Ict Poly), Igbesa, Ogun State 4
- Olabisi Onabanjo University, Ago-Iwoye, Ogun State 38
- Ondo State University of Medical Sciences, Laje Road, Ondo, Ondo State 1
- Osun State College of Education, Ila-Orangun 1