This paper is in the following e-collection/theme issue:

Innovations and Technology in Cancer Care (402) Clinical Information and Decision Making (1330) Depression and Mood Disorders; Suicide Prevention (1283) Emotional, Social, Psychological Support for Cancer (189) Electronic Health Records (967) Breast Cancer (201)

Published on in Vol 8, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39003, first published .
Exploring the Association of Cancer and Depression in Electronic Health Records: Combining Encoded Diagnosis and Mining Free-Text Clinical Notes

Exploring the Association of Cancer and Depression in Electronic Health Records: Combining Encoded Diagnosis and Mining Free-Text Clinical Notes

Exploring the Association of Cancer and Depression in Electronic Health Records: Combining Encoded Diagnosis and Mining Free-Text Clinical Notes

Authors of this article:

Angela Leis1, 2 Author Orcid Image ;   David Casadevall3, 4 Author Orcid Image ;   Joan Albanell3, 4 Author Orcid Image ;   Margarita Posso5, 6 Author Orcid Image ;   Francesc Macià5, 6 Author Orcid Image ;   Xavier Castells5, 6 Author Orcid Image ;   Juan Manuel Ramírez-Anguita1, 2 Author Orcid Image ;   Jordi Martínez Roldán7 Author Orcid Image ;   Laura I Furlong1, 2 Author Orcid Image ;   Ferran Sanz1, 2 Author Orcid Image ;   Francesco Ronzano2 Author Orcid Image ;   Miguel A Mayer1, 2 Author Orcid Image
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