Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments-Reference-Cited by-同舟云学术

Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments

Published:2023-02-10 Issue:2 Volume:13 Page:229-244
ISSN:2190-7188
Container-title:Health and Technology
language:en
Short-container-title:Health Technol.

Author:

Nuutinen Mikko^ORCID,Hiltunen Anna-Maria,Korhonen Sonja,Haavisto Ira,Poikonen-Saksela Paula,Mattson Johanna,Manikis Georgios,Kondylakis Haridimos,Simos Panagiotis,Mazzocco Ketti,Pat-Horenczyk Ruth,Sousa Berta,Cardoso Fatima,Manica Isabel,Kudel Ian,Leskelä Riikka-Leena

Funder

Horizon 2020 Framework Programme

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s12553-023-00733-7.pdf

Reference70 articles.

1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424. https://doi.org/10.3322/caac.21492.

2. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin. 2019;69(1):7–34. https://doi.org/10.3322/caac.21551. https://acsjournals.onlinelibrary.wiley.com/doi/pdf/10.3322/caac.21551.

3. Pilevarzadeh M, Amirshahi M, Afsargharehbagh R, Rafiemanesh H, Hashemi SM, Balouchi A. Global prevalence of depression among breast cancer patients: a systematic review and meta-analysis. Breast Cancer Res Treat. 2019;176(3):519–33.

4. Nikbakhsh N, Moudi S, Abbasian S, Khafri S. Prevalence of depression and anxiety among cancer patients. Caspian J Intern Med. 2014;5(3):167.

5. Molina Y, Jean CY, Martinez-Gutierrez J, Reding KW, Joyce P, Rosenberg AR. Resilience among patients across the cancer continuum: diverse perspectives. Clin J Oncol Nurs. 2014;18(1):93.