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Machine Learning (1651) Natural Language Processing (770) Methods and Feasibility Studies (389) Advanced Data Analytics in eHealth (158) Clinical Information and Decision Making (1573) Decision Support for Health Professionals (1305) Artificial Intelligence (1628) Innovations and Technology in Cancer Care (452)

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

Authors of this article:

Anne de Hond1, 2, 3 Author Orcid Image ;   Marieke van Buchem1, 2, 3 Author Orcid Image ;   Claudio Fanconi3, 4 Author Orcid Image ;   Mohana Roy5 Author Orcid Image ;   Douglas Blayney5 Author Orcid Image ;   Ilse Kant1, 6 Author Orcid Image ;   Ewout Steyerberg1, 2 Author Orcid Image ;   Tina Hernandez-Boussard3, 7, 8 Author Orcid Image
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New JMIR MedInform: Predicting Depression Risk in #patients With Cancer Using Multimodal Data: Algorithm Development Study https://t.co/47oPTBhqMd https://t.co/WZxoEDrQ2M

5:12 PM · Jan 18, 2024

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RT @jmirpub: New JMIR MedInform: Predicting Depression Risk in #patients With Cancer Using Multimodal Data: Algorithm Development Study htt…

5:12 PM · Jan 18, 2024

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