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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81424, first published .
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

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

Niclas J Hubel   1 , MSc ;   Thijs G W van der Heijden   2 , MSc ;   Benjamin Murauer   3 , PhD ;   Belle H de Rooij   4, 5 , PhD ;   Kelly M de Ligt   2 , PhD ;   Helena M Verkooijen   6 , Prof Dr ;   Sofie AM Gernaat   6 , PhD ;   Meeke Hoedjes   7 , PhD ;   Volker Arndt   8 , Prof Dr ;   Lonneke V van de Poll-Franse   2, 7 , Prof Dr ;   Bernhard Holzner   1, 3 , Prof Dr ;   Jens Lehmann   1, 9 , PhD

1 Health Outcomes Research Unit, University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria

2 Department of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands

3 Evaluation Software Development GmbH, Innsbruck, Austria

4 Center of Research on Psychological Disorders and Somatic Diseases, Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands

5 Department of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands

6 Division of Imaging and Oncology, University Medical Centre Utrecht, Utrecht, The Netherlands

7 Center of Research on Psychological Disorders and Somatic Disorders, Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands

8 Cancer Survivorship Outcomes and Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

9 on behalf of the EORTC Quality of Life Group

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