Prediction models are common in medicine for predicting outcomes such as mortality, complications, or response to treatment. Despite the growing interest in these models in arthroplasty (and orthopaedics in general), few have been adopted in clinical practice. If robustly built and validated, prediction models can be excellent tools to support surgical decision making. In this paper, we provide an overview of the statistical concepts surrounding prediction models and outline practical steps for prediction model development and validation in arthroplasty research. Please visit the following https://www.youtube.com/watch?v=9Yrit23Rkic for a video that explains the highlights of the paper in practical terms.
- machine learning
- model validation
- risk prediction
ASJC Scopus subject areas
- Orthopedics and Sports Medicine