Machine-learning-based Patient-specific Prediction Models For Knee Osteoarthritis

Predictive modelling in medicine involves the development of models that use artificial intelligence approaches such as machine learning to analyse data and predict outcomes for an individual. The field of Osteoarthritis (OA) has been relatively slow in adopting advanced analytical techniques compared to other diseases, due to the volume and complexity of the data available, as well as a lack of technologies and computing resources. Generally, prediction models are developed using input variables and outcome variables, and the resulting model is then used to predict the outcome of new data sets. Machine learning approaches such as supervised and unsupervised learning are used to create these models.