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

Artificial Intelligence (4955) Innovations and Technology in Cancer Care (705) Breast Cancer (415)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81424, first published .
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Time-Dynamic AI Models to Predict Quality of Life in Patients With Breast Cancer: Development and Validation Study Using the EORTC BALANCE Cohort

Time-Dynamic AI Models to Predict Quality of Life in Patients With Breast Cancer: Development and Validation Study Using the EORTC BALANCE Cohort

Authors of this article:

Niclas J Hubel1 Author Orcid Image ;   Thijs G W van der Heijden2 Author Orcid Image ;   Benjamin Murauer3 Author Orcid Image ;   Belle H de Rooij4, 5 Author Orcid Image ;   Kelly M de Ligt2 Author Orcid Image ;   Helena M Verkooijen6 Author Orcid Image ;   Sofie AM Gernaat6 Author Orcid Image ;   Meeke Hoedjes7 Author Orcid Image ;   Volker Arndt8 Author Orcid Image ;   Lonneke V van de Poll-Franse2, 7 Author Orcid Image ;   Bernhard Holzner1, 3 Author Orcid Image ;   Jens Lehmann1, 9 Author Orcid Image
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Journals

  1. Prakash G, Tejaswini B, Ganesh B, Sunil Kumar D. Artificial intelligence and machine learning for predicting patient-reported outcomes in cancer: A scoping review. Measurement and Evaluations in Cancer Care 2026;4:100041 View