Machine learning prediction of breast cancer survival using age, sex, length of stay, mode of diagnosis and location of cancer
Author:
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/s12553-021-00572-4.pdf
Reference55 articles.
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3. Gucalp A, Traina TA, Eisner JR, Parker JS, Selitsky SR, Park BH, Elias AD, Baskin-Bey ES, Cardoso F. Male breast cancer: a disease distinct from female breast cancer. Breast Cancer Res Teat. 2019;173(1):37–48. https://doi.org/10.1007/s10549-018-4921-9.
4. Adamu PI, Adamu MO, Okagbue HI, Opoola L, Bishop SA. Survival Analysis of Cancer Patients in North Eastern Nigeria from 2004–2017 – A Kaplan - Meier Method. Open Access Maced J Med Sci. 2019;7(4):642–9. https://doi.org/10.3889/OAMJMS.2019.109.
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