Performance Comparison of Machine Learning Algorithms Clinical Diagnoses of the Risk of Knee Osteoarthritis (KOA)


Olayemi O. Catherine
Joseph Ayo Babalola University
Olasehinde O.Olayemi
Federal Polytechnic
Alowolodu O. Dayo
Federal University of Technology


Knee Osteoarthritis (KOA) is a deteriorating sickness that affects human knee joints leading to impaired quality of life with no curative treatments. Early detection of Knee Osteoarthritis will ensure its proper management, prevent cartilage damage and slow down its progression. Machine Learning (ML) techniques have been used to learn and discover useful patterns from patient datasets to diagnose diseases and infections. This study models five diagnostic models using a dataset of patient information from the Federal Medical Centre, Ido-Ekiti, located in the South-Western part of Nigerian. The result from the study showed a diagnostic accuracy that ranges from 82.79% to 87.93% among the five diagnoses models. The evaluation of the models with the OAI dataset showed an improved diagnostic accuracy compared to existing similar research in the literature.

February 17, 2024
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