Predicting Depression Risk in Patients With Cancer Using Multimodal Data: Algorithm Development Study.
Anne A H de HondMarieke Meija van BuchemClaudio FanconiMohana RoyDouglas W BlayneyIlse M J KantEwout Willem SteyerbergTina Hernandez BoussardPublished in: JMIR medical informatics (2024)
The results demonstrated the potential and limitations of machine learning and multimodal models for predicting depression risk in patients with cancer. Future research is needed to further validate these models, refine the outcome label and predictors related to mental health, and address biases across subgroups.