Comparison of Machine Learning Methods in the Study of Cancer Survivors’ Return to Work: An Example of Breast Cancer Survivors with Work-Related Factors in the CONSTANCES Cohort-Reference-Cited by-同舟云学术

Comparison of Machine Learning Methods in the Study of Cancer Survivors’ Return to Work: An Example of Breast Cancer Survivors with Work-Related Factors in the CONSTANCES Cohort

Published:2023-03-20 Issue:4 Volume:33 Page:750-756
ISSN:1053-0487
Container-title:Journal of Occupational Rehabilitation
language:en
Short-container-title:J Occup Rehabil

Author:

Badreau Marie,Fadel Marc,Roquelaure Yves,Bertin Mélanie,Rapicault Clémence,Gilbert Fabien,Porro Bertrand,Descatha Alexis

Funder

This manuscript was prepared as part of the SIRIC ILIAD program supported by the French National Cancer Institute (INCa), the French Ministry of Health and the Institute of Health and Medical Research

This manuscript was prepared as part of the TEC-TOP project (Pays de la Loire Region, Angers Loire Metropole, Univ Angers and CHU Angers).

Publisher

Springer Science and Business Media LLC

Subject

Occupational Therapy,Rehabilitation

Link

https://link.springer.com/content/pdf/10.1007/s10926-023-10112-8.pdf

Reference34 articles.

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4. Porro B, Michel A, Zinzindohoué C, Bertrand P, Monrigal E, Trentini F et al. Quality of life, fatigue and changes therein as predictors of return to work during breast cancer treatment. Scandinavian Journal of Caring Sciences [Internet]. 2019 [cited 2019 Mar 3]; Available from: https://doi.org/10.1111/scs.12646

5. Dumas A, Vaz Luis I, Bovagnet T, El Mouhebb M, Di Meglio A, Pinto S et al. Impact of Breast Cancer Treatment on Employment: Results of a Multicenter Prospective Cohort Study (CANTO).Journal of Clinical Oncology. 2020;JCO.19.01726.

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