Khashayar Ghadirinejad, Roohollah Milimonfared, Mark Taylor, Lucian B Solomon, Stephen Graves, Nicole Pratt, Richard de Steiger, Reza Hashemi
Prediction models are being increasingly used in the medical field to identify risk factors and possible outcomes. Some of these are presently being used to develop guidelines for improving clinical practice. The application of machine learning (ML), comprising a powerful set of computational tools for analysing data, has been clearly expanding in the role of predictive modelling. This paper reviews the latest developments of supervised ML techniques that have been used to analyse data related to post-operative total hip and knee replacements...
April 10, 2024: ANZ Journal of Surgery