Contemporary Machine Learning Approaches Towards Biomechanical Analysis in the Diagnosis and Prognosis Prediction of Knee Osteoarthritis: A Systematic Review
Michael Zhang,
Sophia Yang
Abstract:Introduction: Knee Osteoarthritis (KOA) is the second most reported condition for persons 50 years and up; approximated by the continuous degradation of the knee, and eventually extending to the debilitation of biomechanical gait parameters. Inconsistencies with existing diagnostic methods mean that Machine Learning (ML) has been leveraged in creating gaitbased predictive models in relation to KOA. The purpose of this study is to explore existing literature with camera and sensor-based methodologies, along wit… Show more
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