Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51925, first published .
Predicting Depression Risk in Patients With Cancer Using Multimodal Data: Algorithm Development Study

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

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

Anne de Hond   1, 2, 3 , MSc, PhD ;   Marieke van Buchem   1, 2, 3 , MSc ;   Claudio Fanconi   3, 4 , MSc ;   Mohana Roy   5 , MD ;   Douglas Blayney   5 , MD ;   Ilse Kant   1, 6 , MSc, PhD ;   Ewout Steyerberg   1, 2 , MSc, PhD ;   Tina Hernandez-Boussard   3, 7, 8 , MSc, PhD

1 Clinical AI Implementation and Research Lab, Leiden University Medical Centre, Leiden, Netherlands

2 Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, Netherlands

3 Department of Medicine (Biomedical Informatics), Stanford Medicine, Stanford University, Stanford, CA, United States

4 Department of Electrical Engineering and Information Technology, ETH Zürich, Zürich, Switzerland

5 Department of Medical Oncology, Stanford Medicine, Stanford University, Stanford, CA, United States

6 Department of Digital Health, University Medical Centre Utrecht, Utrecht, Netherlands

7 Department of Biomedical Data Science, Stanford University, Stanford, CA, United States

8 Department of Epidemiology & Population Health (by courtesy), Stanford University, Stanford, CA, United States

Corresponding Author:

  • Tina Hernandez-Boussard, MSc, PhD
  • Department of Medicine (Biomedical Informatics)
  • Stanford Medicine
  • Stanford University
  • 1265 Welch Road
  • Stanford, CA, 94305
  • United States
  • Phone: 1 650-725-5507
  • Email: boussard@stanford.edu