A decision support system for Rey-Osterrieth complex figure evaluation

Davide Di Febbo, Simona Ferrante, Marco Baratta, Matteo Luperto, Carlo Abbate, Pietro Davide Trimarchi, Fabrizio Giunco, Matteo Matteucci

Abstract: Highlights•A DSS can optimally discriminate healthy, MCI and dementia from the ROCF copy test.•Explainable machine-learning methods support the interpretation of the ROCF result.•Computer vision and deep learning can support pattern analysis and interpretation.•Retrospective data is the appropriate data set to further improve the DSS performance.