Predictive models are widely used in clinical practice. Despite of the increasing number of published AI systems, recent systematic reviews have identified lack of statistical rigor in the development and validation of predictive models. This work reviewed the current literature for predictive performance measures and resampling methods. Furthermore, common pitfalls were discussed.
Keywords: Artificial Intelligence systems; Machine Learning algorithms; Predictive models; Statistical methods.
© 2022. The Author(s) under exclusive licence to American Society of Nuclear Cardiology.