Machine learning applied in patient-reported outcome research—exploring symptoms in adjuvant treatment of breast cancer
Author:
Funder
Pfizer
Kræftens Bekæmpelse
Publisher
Springer Science and Business Media LLC
Subject
Pharmacology (medical),Radiology, Nuclear Medicine and imaging,Oncology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s12282-023-01515-9.pdf
Reference21 articles.
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2. Basch E, Deal AM, Dueck AC, et al. Overall survival results of a trial assessing patient-reported outcomes for symptom monitoring during routine cancer treatment. JAMA. 2017;318(2):197–8.
3. Denis F, Basch E, Septans AL, et al. Two-year survival comparing web-based symptom monitoring vs routine surveillance following treatment for lung cancer. JAMA. 2019;321(3):306–7.
4. Barbera L, Sutradhar R, Seow H, et al. The impact of routine edmonton symptom assessment system (ESAS) use on overall survival in cancer patients: results of a population-based retrospective matched cohort analysis. Cancer Med. 2020;9(19):7107–15.
5. Basch E, Charlot M, Dueck AC. Population-level evidence of survival benefits of patient-reported outcome symptom monitoring software systems in routine cancer care. Cancer Med. 2020;9(21):7797–9.
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