Predicting Depression Risk in Patients With Cancer Using Multimodal Data: Algorithm Development Study

de Hond, Anne, van Buchem, Marieke, Fanconi, Claudio, Roy, Mohana, Blayney, Douglas, Kant, Ilse, Steyerberg, Ewout, Hernandez-Boussard, Tina

Open source

DOI: 10.3929/ethz-b-000662490
Published: 2024
Container: Not recorded
Publisher: ETH Zurich
Open access: no

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Cite this work

BibTeX

@article{allodium:10.3929/ethz-b-000662490,
  title = {Predicting Depression Risk in Patients With Cancer Using Multimodal Data: Algorithm Development Study},
  author = {de Hond, Anne and van Buchem, Marieke and Fanconi, Claudio and Roy, Mohana and Blayney, Douglas and Kant, Ilse and Steyerberg, Ewout and Hernandez-Boussard, Tina},
  year = {2024},
  doi = {10.3929/ethz-b-000662490},
  url = {https://doi.org/10.3929/ethz-b-000662490}
}

RIS

TY  - JOUR
TI  - Predicting Depression Risk in Patients With Cancer Using Multimodal Data: Algorithm Development Study
AU  - de Hond, Anne
AU  - van Buchem, Marieke
AU  - Fanconi, Claudio
AU  - Roy, Mohana
AU  - Blayney, Douglas
AU  - Kant, Ilse
AU  - Steyerberg, Ewout
AU  - Hernandez-Boussard, Tina
PY  - 2024
DO  - 10.3929/ethz-b-000662490
UR  - https://doi.org/10.3929/ethz-b-000662490
ER  -

APA

Anne, D. H., Marieke, V. B., Claudio, F., Mohana, R., Douglas, B., Ilse, K., Ewout, S., & Tina, H. (2024). Predicting Depression Risk in Patients With Cancer Using Multimodal Data: Algorithm Development Study. https://doi.org/10.3929/ethz-b-000662490

Source records

datacite · retrieved 2026-11-03T18:34:12.164Z