Predicting factors for survival of breast cancer patients using machine learning techniques-Reference-Cited by-同舟云学术

Predicting factors for survival of breast cancer patients using machine learning techniques

Published:2019-03-22 Issue:1 Volume:19 Page:
ISSN:1472-6947
Container-title:BMC Medical Informatics and Decision Making
language:en
Short-container-title:BMC Med Inform Decis Mak

Author:

Ganggayah Mogana Darshini,Taib Nur Aishah,Har Yip Cheng,Lio Pietro,Dhillon Sarinder Kaur^ORCID

Funder

Ministry of Higher Education

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1186/s12911-019-0801-4.pdf

Reference60 articles.

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3. Shrivastava SS, Sant A, Aharwal RP. An overview on data mining approach on breast Cancer data. Int J Adv Comput Res. 2013;3(4):256–62.

4. Islam T, Bhoo-Pathy N, Su TT, Majid HA, Nahar AM, Ng CG, et al. The Malaysian breast Cancer survivorship cohort (MyBCC): a study protocol. BMJ Open Br Med J Publ Group. 2015;5:e008643.

5. Taib NA, Akmal M, Mohamed I, Yip C-H. Improvement in survival of breast cancer patients - trends over two time periods in a single institution in an Asia Pacific country, Malaysia. Asian Pac J Cancer Prev. 2011;12:345–9.

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