Analysis of Breast Cancer Detection Using Different Machine Learning Techniques-Reference-Cited by-同舟云学术

Analysis of Breast Cancer Detection Using Different Machine Learning Techniques

Published:2020 Issue: Volume: Page:108-117
ISSN:1865-0929
Container-title:Data Mining and Big Data
language:
Short-container-title:

Author:

Mohammed Siham A.,Darrab Sadeq,Noaman Salah A.,Saake Gunter

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-7205-0_10

Reference21 articles.

1. U.S. Cancer Statistics Working Group. United States Cancer Statistics: 1999–2008 Incidence and Mortality Web-based Report. Atlanta (GA): Department of Health and Human Services, Centers for Disease Control

2. http://www.breastcancer.org/symptoms/understand_bc/statistics

3. Lecture Notes in Computer Science;J Silva,2019

4. Ojha U., Goel, S.: A study on prediction of breast cancer recurrence using data mining techniques. In: 7th International Conference on Cloud Computing, Data Science & Engineering-Confluence, IEEE, pp. 527–530, 2017

5. Pritom, A.I., Munshi, M.A.R., Sabab, S.A., Shihab, S.: Predicting breast cancer recurrence using effective classification and feature selection technique. In: 19th International Conference on Computer and Information Technology (ICCIT), pp. 310–314. IEEE (2016)

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