This line of research focuses on the construction, evaluation, and validation of predictive models to support diagnosis, integrating traditional statistical approaches with machine learning techniques that also allow the handling of various types of data. Particular attention is devoted to model comparison, the evaluation of diagnostic performance, calibration, and internal and external validation in real-world settings
Relevance Area: Clinical
Research Group: